This statistic shows the industries where gig economy workers are currently employed in the United States in 2018. During the survey, 14 percent of respondents reported working in government or the public sector.

In 2021, only one percent of gig economy workers in the United States reported being very dissatisfied with independent work. In contrast, ** percent of people working in the gig economy reported being very satisfied with their job.

Abstract: The main objective of this article is to analyze the two main economies of Piauí, starting from the end of the eighteenth century and extending throughout the nineteenth century. From this analysis we intend to make the reader aware that the need of the slave laborer in Piauí was closely linked to a productive system that was based on the exploitation of the work of the captive. That is, the existence of the slave laborer in Piaui’s lands was linked to work, regardless of the economic growth of the region.

This statistic shows the accumulated retirement savings among gig economy workers in the United States in 2018. During the survey, ** percent of gig economy workers whose gig job is their main job reported having no retirement savings, compared to ** percent of respondents who had both a full-time job with a side gig.

Number of workers commuting from Pierce County to other counties in Washington. Data is sourced from LEHD Origin-Destination Employment Statistics (LODES). Sample Universe: Workers 16 years (members of the Armed Forces and civilians) who were at work during the reference year.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Economy. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Economy, the median income for all workers aged 15 years and older, regardless of work hours, was $40,197 for males and $22,500 for females.

These income figures highlight a substantial gender-based income gap in Economy. Women, regardless of work hours, earn 56 cents for each dollar earned by men. This significant gender pay gap, approximately 44%, underscores concerning gender-based income inequality in the town of Economy.

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.18 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy median household income by race. You can refer the same here

The dataset consists year and occupation wise numbers of gig workers in India. Occupations include House Keeping and Restaurant Workers, Motor Vehicle Drivers, Finance Agents, Brokers Etc., Business Professionals, Computer Professionals, Secretaries and Clerks, Shop and Market Sales Persons and Others.

Graph and download economic data for Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Montana (U6UNEM6MT) from Q4 2003 to Q3 2024 about marginally attached, part-time, labor underutilization, MT, workers, civilian, 16 years +, labor force, labor, household survey, unemployment, rate, and USA.

Graph and download economic data for Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Illinois (U6UNEM6IL) from Q4 2003 to Q3 2024 about marginally attached, part-time, labor underutilization, IL, workers, civilian, 16 years +, labor force, labor, household survey, unemployment, rate, and USA.

Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for New Mexico was 7.40000 %, 4-Qtr. Moving Average in July of 2024, according to the United States Federal Reserve. Historically, Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for New Mexico reached a record high of 15.60000 in October of 2010 and a record low of 6.90000 in July of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for New Mexico - last updated from the United States Federal Reserve on June of 2025.

Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Arizona was 7.20000 %, 4-Qtr. Moving Average in July of 2024, according to the United States Federal Reserve. Historically, Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Arizona reached a record high of 18.70000 in January of 2011 and a record low of 6.50000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Arizona - last updated from the United States Federal Reserve on June of 2025.

Goal 8Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allTarget 8.1: Sustain per capita economic growth in accordance with national circumstances and, in particular, at least 7 per cent gross domestic product growth per annum in the least developed countriesIndicator 8.1.1: Annual growth rate of real GDP per capitaNY_GDP_PCAP: Annual growth rate of real GDP per capita (%)Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectorsIndicator 8.2.1: Annual growth rate of real GDP per employed personSL_EMP_PCAP: Annual growth rate of real GDP per employed person (%)Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial servicesIndicator 8.3.1: Proportion of informal employment in total employment, by sector and sexSL_ISV_IFEM: Proportion of informal employment, by sector and sex (ILO harmonized estimates) (%)Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the leadIndicator 8.4.1: Material footprint, material footprint per capita, and material footprint per GDPEN_MAT_FTPRPG: Material footprint per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollar)EN_MAT_FTPRPC: Material footprint per capita, by type of raw material (tonnes)EN_MAT_FTPRTN: Material footprint, by type of raw material (tonnes)Indicator 8.4.2: Domestic material consumption, domestic material consumption per capita, and domestic material consumption per GDPEN_MAT_DOMCMPT: Domestic material consumption, by type of raw material (tonnes)EN_MAT_DOMCMPG: Domestic material consumption per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollars)EN_MAT_DOMCMPC: Domestic material consumption per capita, by type of raw material (tonnes)Target 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal valueIndicator 8.5.1: Average hourly earnings of employees, by sex, age, occupation and persons with disabilitiesSL_EMP_EARN: Average hourly earnings of employees by sex and occupation (local currency)Indicator 8.5.2: Unemployment rate, by sex, age and persons with disabilitiesSL_TLF_UEM: Unemployment rate, by sex and age (%)SL_TLF_UEMDIS: Unemployment rate, by sex and disability (%)Target 8.6: By 2020, substantially reduce the proportion of youth not in employment, education or trainingIndicator 8.6.1: Proportion of youth (aged 15–24 years) not in education, employment or trainingSL_TLF_NEET: Proportion of youth not in education, employment or training, by sex and age (%)Target 8.7: Take immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its formsIndicator 8.7.1: Proportion and number of children aged 5–17 years engaged in child labour, by sex and ageSL_TLF_CHLDEC: Proportion of children engaged in economic activity and household chores, by sex and age (%)SL_TLF_CHLDEA: Proportion of children engaged in economic activity, by sex and age (%)Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employmentIndicator 8.8.1: Fatal and non-fatal occupational injuries per 100,000 workers, by sex and migrant statusSL_EMP_FTLINJUR: Fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)SL_EMP_INJUR: Non-fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)Indicator 8.8.2: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation, by sex and migrant statusSL_LBR_NTLCPL: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislationTarget 8.9: By 2030, devise and implement policies to promote sustainable tourism that creates jobs and promotes local culture and productsIndicator 8.9.1: Tourism direct GDP as a proportion of total GDP and in growth rateST_GDP_ZS: Tourism direct GDP as a proportion of total GDP (%)Target 8.10: Strengthen the capacity of domestic financial institutions to encourage and expand access to banking, insurance and financial services for allIndicator 8.10.1: (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adultsFB_ATM_TOTL: Number of automated teller machines (ATMs) per 100,000 adultsFB_CBK_BRCH: Number of commercial bank branches per 100,000 adultsIndicator 8.10.2: Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service providerFB_BNK_ACCSS: Proportion of adults (15 years and older) with an account at a financial institution or mobile-money-service provider, by sex (% of adults aged 15 years and older)Target 8.a: Increase Aid for Trade support for developing countries, in particular least developed countries, including through the Enhanced Integrated Framework for Trade-related Technical Assistance to Least Developed CountriesIndicator 8.a.1: Aid for Trade commitments and disbursementsDC_TOF_TRDCMDL: Total official flows (commitments) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBMDL: Total official flows (disbursement) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBML: Total official flows (disbursement) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)DC_TOF_TRDCML: Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)Target 8.b: By 2020, develop and operationalize a global strategy for youth employment and implement the Global Jobs Pact of the International Labour OrganizationIndicator 8.b.1: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategySL_CPA_YEMP: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategy

United States Private Employee: SDB: Workers in Gds Producing Industries data was reported at 51.000 % in 2017. This stayed constant from the previous number of 51.000 % for 2016. United States Private Employee: SDB: Workers in Gds Producing Industries data is updated yearly, averaging 51.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 54.000 % in 2003 and a record low of 45.000 % in 2000. United States Private Employee: SDB: Workers in Gds Producing Industries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G076: Employee Benefits Survey: Private Industry.

According to a survey conducted in South Korea in 2022, people in their forties made up the largest share of consultation platforms workers at over **** percent. Most of the platform workers were working in delivery, transportation, and driving services.

Graph and download economic data for Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Wyoming (U6UNEM6WY) from Q4 2003 to Q3 2024 about marginally attached, part-time, labor underutilization, WY, workers, civilian, 16 years +, labor force, labor, household survey, unemployment, rate, and USA.

In 2018, ** percent of China's contingent workers did gig work as their secondary income. Participants in the gig economy work on short-term contracts, which means that it is not always their primary source of income.

Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Pennsylvania was 6.40000 %, 4-Qtr. Moving Average in July of 2024, according to the United States Federal Reserve. Historically, Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Pennsylvania reached a record high of 14.80000 in January of 2021 and a record low of 6.20000 in October of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Pennsylvania - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Nevada (U6UNEM6NV) from Q4 2003 to Q3 2024 about marginally attached, part-time, labor underutilization, NV, workers, civilian, 16 years +, labor force, labor, household survey, unemployment, rate, and USA.

This dataset from the Bureau of Labor Statistics provides monthly estimates regarding total employment and unemployment, which together comprise the labor force. Our data extract lists all data published for North Carolina’s counties from January 2019 to the present. This dataset is a comprehensive nationwide representation using estimates derived from the national Current Population Survey (CPS) and American Community Survey 5-year estimates. No disaggregations by demographic or worker characteristics are included in the labor force estimate. Time series reports for each variable (employment, unemployment, and labor force) are available for each geography (county) using the BLS multi-screen data tool. Preliminary estimates are released within 30 days of each month and finalized within another 30 days, resulting in a 2-month data lag. The data is available from BLS for a variety of geographic areas, including states, MSAs, counties, cities and towns, and other census regions.

United States Private Employee: ARP: Establishments: => 100 Workers data was reported at 67.000 % in 2018. This records an increase from the previous number of 65.000 % for 2017. United States Private Employee: ARP: Establishments: => 100 Workers data is updated yearly, averaging 66.000 % from Mar 1999 (Median) to 2018, with 18 observations. The data reached an all-time high of 68.000 % in 2009 and a record low of 64.000 % in 2014. United States Private Employee: ARP: Establishments: => 100 Workers data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G077: Employee Benefits Survey: Private Industry.