Union membership has been declining since 1983, and reached a historic low in 2024. There was a slight rise in 2020, but this has been attributed to union members being less likely to lose their jobs during the COVID-19 pandemic. In 2024, the rate of union membership declined again to 9.9 percent. Despite this constant decline, the number of workers represented by a union increased in 2023.

The share of workers in the United States who are members of labor unions has been on the decline since 1983. While rates of union membership have gotten closer between men and women, the rate of male union membership has declined more drastically than that of women. In 2024, **** percent of working men were union members compared to *** percent of women.

The trade union membership 2021 report uses the Labour Force Survey to provide an estimate of the levels and density of trade union membership for all UK workers. It also covers union presence and collective bargaining.

Estimates are presented by:

• gender
• sector
• age
• industry
• region
• occupation

In 2024, there were around 14.26 million workers who were members of labor unions in the United States. This follows a general decline in union membership and was a decrease from 2023, when there were roughly 14.42 billion union members in the United States.

Provides annual estimates of trade union membership from the Labour Force Survey for both employees and all workers. National Statistics

This table contains 99 series, with data for years 1976 - 1995 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), Sex (3 items: Both sexes; Males; Females ...), Components (3 items: Unionized workers; Employees; Union density ...).

Number of employees by union status, education level, gender, and age group.

The Current Population Survey (CPS) is a sample survey of the population 16 years of age and over. The survey is conducted each month by the U.S. Census Bureau for the Bureau of Labor Statistics and provides comprehensive data on the labor force, the employed, and the unemployed, classified by such characteristics as age, sex, race, family relationship, marital status, occupation, and industry attachment. The information is collected by trained interviewers from a sample of about 60,000 households located in 754 sample areas. These areas are chosen to represent all counties and independent cities in the United States, with coverage in 50 States and the District of Columbia. The data collected are based on the activity or status reported for the calendar week including the 12th of the month. Union data are available for all workers, members of unions and represented by unions, with data available by age, race, Hispanic or Latino ethnicity, sex, occupation, industry, state, and full- or part-time status. Median weekly earnings data are also available for members of unions, represented by unions and non-union with data available by age, race, Hispanic or Latino ethnicity, sex, occupation, industry and full- or part-time status.

In 2023/24, there were six trade unions in the United Kingdom which had 250,000 or more members, accounting for the majority of trade union members in this year. Of the 5.5 million trade union members, 3.63 million belonged to these largest trade unions, with just 272 belonging to the six trade unions which had fewer than 100 members.

Number of Businesses statistics on the Credit Unions industry in the US

This statistic shows the percentage of employees that were members of a trade union (trade union density) in Germany from 2000 to 2013. Over this 14 year period, the percentage fell by a total of 6.44 percentage points.

Number of employees by union status, provinces, gender, and age group.

Number of employees by union status, North American Industry Classification System (NAICS) and gender.

About this dataset

Context

The dataset tabulates the population of Union by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Union across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 53.2% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Union is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Union total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Union Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Union by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Union. The dataset can be utilized to understand the population distribution of Union by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Union. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Union.

Key observations

Largest age group (population): Male # 35-39 years (56) | Female # 40-44 years (43). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Union population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Union is shown in the following column.
• Population (Female): The female population in the Union is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Union for each age group.

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 Union Population by Gender. You can refer the same here

In 2023, the union membership rate of employees in South Korea reached ** percent, a decrease from **** percent in the previous year. Union membership has been declining since 1989 and reached a historic low in 2010. South Korea's unionization rate is low compared to other developed countries.

Number of employees by union status and National Occupational Classification (NOC), last 5 years.

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 Union town. 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 Union town, the median income for all workers aged 15 years and older, regardless of work hours, was $42,708 for males and $29,917 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 30% between the median incomes of males and females in Union town. With women, regardless of work hours, earning 70 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Union town.

- Full-time workers, aged 15 years and older: In Union town, among full-time, year-round workers aged 15 years and older, males earned a median income of $59,400, while females earned $52,428, resulting in a 12% gender pay gap among full-time workers. This illustrates that women earn 88 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the town of Union town.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Union town.

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 Union town median household income by race. You can refer the same here

In 2024, members of trade unions in the United Kingdom earned on average *** percent more than the average worker. During the provided time period, the trade union wage premium was at its highest in 1995 when members of trade unions could expect to earn **** percent more than people who were not in a union.