While union membership has been on the decline both nationwide and in the construction industry since 2000, the memberships remain high in the construction industry. In 2000, around 17.5 percent of construction workers were union members, compared to 9 percent of workers across all industries. By 2023, however, union membership in the construction industry had fallen to 10.7 percent.

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.

In France, the proportion of employees who belong to a trade union varies greatly depending on whether the employee works in the public or private sector, but also according to gender. Thus, in 2019, 20.6 percent of men in the public sector were union members, four points higher than women in the same sector. While union membership was much lower in the private sector, the gender gap was also smaller. In France, the rate of unionization, at its peak in 1949, has been gradually declining.

Provide the number of union members in Taoyuan City.

Abstract copyright UK Data Service and data collection copyright owner.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

Main Topics:

Amalgamated Engineers' Branch-level benefit statistics (1851- 1912), membership statistics (1871- 1872), financial statistics (1851- 1918) and admission Statistics (1853- 1909).

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

This study is a 40-year time series of social, economic, and political indicators at the national level for the United States in the period 1929-1968. The variables include data on expenditures from the federal budget by various departments, agencies, and commissions, the number of employees in the various United States departments, measures of the political characteristics of the United States Congress, such as the number of Repuplicans, Democrats, and "other" party members in the United States Senate and in the House of Representatives, business and consumer expenditures, and attributes of the population. Data are also provided on the number per 1,000 of immigrants to the United States, membership of all the religious bodies in the United States, labor union membership, total households in the United States, total civilian labor force, and the number of the unemployed. Demographic variables provide information on education, births, and death rates. The unit of analysis is the year. Variables 2-281 cover the period from 1929-1968 and Variables 282-408 cover only the period from 1947-1968.

The Workplace Information and Research Division of the Labour Program conducts an annual survey of labour organizations in Canada that represent bargaining units of 50 or more workers. The survey provides aggregate statistics on union coverage by organization type and affiliation.

United States Private Employee: DBP: Union Workers data was reported at 66.000 % in 2017. This records an increase from the previous number of 65.000 % for 2016. United States Private Employee: DBP: Union Workers data is updated yearly, averaging 67.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 72.000 % in 2005 and a record low of 65.000 % in 2016. United States Private Employee: DBP: Union Workers 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.

How do occupational credit unions set deposit rates? This article shows that the answer to this question depends on who actually makes business decisions in credit unions (who is in control), and whether local deposit market competition is important. It is not obvious who controls occupational credit unions. If the sponsor (the employer) is in control, then loans and deposits are priced to maximize the surplus received by all of the credit union's current and potential members (those eligible to join). If members are in control, then a group of members with a majority can maximize its own surplus. The group in control may include members whose primary purpose for joining the credit union is to borrow money or, alternatively, to lend money (make deposits). If local deposit-market competition is the dominant influence, then internal characteristics of the credit union won't matter at all. This study tests the sponsor-control, the member-control, and the market-control hypotheses against each other using a large sample of occupational credit unions observed in 1997. The results suggest that sponsors exercise effective control over occupational credit unions.

In 2023, there were 127 education trade unions in South Korea. According to the source, a major education trade union called the Korean Teachers and Education Workers Union accounted for more than 88 percent of registered union members. This trade union lost its legal legitimacy as ruled by the Seoul High Court in 2016, which led to a drastic decline in education trade union membership rates.

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

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 # 45-49 years (325) | Female # 50-54 years (388). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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

Aggregated Labour Force Survey data showing union participation rate by industry. Industry: 2-digit North American Industry Classification System (NAICS) code level and at 3-digit NAICS code level for 212 (Mining and quarrying (except oil and gas)). Union status: Union members, Not a union member but covered by a collective agreement, Not a union member and not covered by a collective agreement, Unionization rate, Collective agreement coverage rate. Geography: Canada, provinces, and Census Metropolitan Area (CMA); data not available for territories. Annual average data 1997-2016.

This statistic shows the percentage of employees that were members of a trade union (trade union density) in Northern Ireland from 1998 to 2018. Over this time period, the percentage fell by a total of 6.1 percent, amounting to 35.2 percent in 2018.

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 (49) | Female # 50-54 years (28). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 2024, civilian workers who belonged to a union had better access to federal benefits than non-union members in every category. Almost all union members who worked in civilian positions had access to retirement, medical care, and paid leave benefits.

Financial overview and grant giving statistics of 635 Members Choice Credit Union Inc

About this dataset

Context

The dataset tabulates the Union population by year. The dataset can be utilized to understand the population trend of Union.

Content

The dataset constitues the following datasets

• Union, MO Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

Imports: EU 27E: America: Food and Live Animals Chiefly for Food data was reported at 4.086 EUR bn in Feb 2025. This records a decrease from the previous number of 4.149 EUR bn for Jan 2025. Imports: EU 27E: America: Food and Live Animals Chiefly for Food data is updated monthly, averaging 2.655 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 4.625 EUR bn in Nov 2022 and a record low of 1.375 EUR bn in Feb 2003. Imports: EU 27E: America: Food and Live Animals Chiefly for Food data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA026: Eurostat: Trade Statistics: By SITC: European Union: America.

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 # 10-14 years (588) | Female # 55-59 years (648). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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