The statistic shows the distribution of the workforce across economic sectors in the United States from 2013 to 2023. In 2023, 1.57 percent of the workforce in the US was employed in agriculture, 19.34 percent in industry and 79.09 percent in services. See U.S. GDP per capita for more information. American workforce A significant majority of the American labor force is employed in the services sector, while the other sectors, industry and agriculture, account for less than 20 percent of the US economy. However, the United States is among the top exporters of agricultural goods – the total value of US agricultural exports has more than doubled since 2000. A severe plunge in the employment rate in the US since 1990 shows that the American economy is still in turmoil after the economic crisis of 2008. Unemployment is still significantly higher than it was before the crisis, and most of those unemployed and looking for a job are younger than 25; youth unemployment is a severe problem for the United States, many college or university graduates struggle to find a job right away. Still, the number of employees in the US since 1990 has been increasing slowly, with a slight setback during and after the recession. Both the number of full-time and of part-time workers have increased during the same period. When looking at the distribution of jobs among men and women, both project the general downward trend. A comparison of the employment rate of men in the US since 1990 and the employment rate of women since 1990 shows that more men tend to be employed than women.

The statistic shows the distribution of the workforce across economic sectors in Mexico from 2013 to 2023. In 2023, 11.96 percent of the workforce in Mexico were employed in agriculture, 25.03 percent in industry and 63 percent in services.

Distribution by level of job training of the number of active Infrabel employees. The "educational level of the job" shows what training is theoretically required to perform the job. This does not necessarily correspond to the employee's educational level.For example, through internal selection tests, an employee with a secondary school diploma can hold a position at bachelor level.Disclaimer : The statistics in this dataset are presented on a monthly basis, but are updated every morning after internal recalculations. It is therefore possible that the figures may vary slightly, both for the current period - if given - and for previous periods.

This dataset contains the percentage distribution of workers by their status in employment, such as self-employment, regular wage/salary, and casual labor, under usual status (ps+ss). The data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. It highlights the various employment categories and their relative shares in the workforce.The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.

Distribution business activity of the number of active employees of Infrabel.Disclaimer : The statistics in this dataset are presented on a monthly basis, but are updated every morning after internal recalculations. It is therefore possible that the figures differ slightly, both for the current period - if given - and for previous periods.

The statistic shows the distribution of the workforce across economic sectors in France from 2013 to 2023. In 2023, 2.51 percent of the workforce were employed in agriculture, and 78.25 percent in services.

The statistic shows the distribution of the workforce across economic sectors in China from 2014 to 2024. In 2024, around 22.2 percent of the workforce were employed in the agricultural sector, 29 percent in the industrial sector and 48.8 percent in the service sector. In 2022, the share of agriculture had increased for the first time in more than two decades, which highlights the difficult situation of the labor market due to the pandemic and economic downturn at the end of the year. Distribution of the workforce in China In 2012, China became the largest exporting country worldwide with an export value of about two trillion U.S. dollars. China’s economic system is largely based on growth and export, with the manufacturing sector being a crucial contributor to the country’s export competitiveness. Economic development was accompanied by a steady rise of labor costs, as well as a significant slowdown in labor force growth. These changes present a serious threat to the era of China as the world’s factory. The share of workforce in agriculture also steadily decreased in China until 2021, while the agricultural gross production value displayed continuous growth, amounting to approximately 7.8 trillion yuan in 2021. Development of the service sector Since 2011, the largest share of China’s labor force has been employed in the service sector. However, compared with developed countries, such as Japan or the United States, where 73 and 79 percent of the work force were active in services in 2023 respectively, the proportion of people working in the tertiary sector in China has been relatively low. The Chinese government aims to continue economic reform by moving from an emphasis on investment to consumption, among other measures. This might lead to a stronger service economy. Meanwhile, the size of the urban middle class in China is growing steadily. A growing number of affluent middle class consumers could promote consumption and help China move towards a balanced economy.

Breakdown by age of the workforce as of December 31 since 2010.

For driving agents, the use of age brackets different from other colleges (from 45 to 49 years old and 50 years old and more) aims to integrate the specificities of the special retirement plan for railway workers

• "Status Agents": also referred to as "permanent executive" within SNCF, this notion designates a statutory position, regardless of the agent's college, in accordance with the provisions of internal directive RH 001 ("Status of collective relations between SNCF and its staff").
• "Contractual agents": designates an agent who is not in the status, but who is linked to SNCF by a common law employment contract.

• "College": classification according to the colleges of representation of staff, namely "execution", "control" and "executive".
• The rolling staff includes the driving agents ("execution of rolling trains") and the crew chiefs ("execution of rolling trains"). ").

These data come from the Social Report published each year by the Cohesion & SNCF human resources. The social report presents data relating to all company personnel with the exception of doctors who intervene in the context of occupational medicine and care medicine for active agents, trainees, janitors and contractual staff under supported contract.

From 2019, the type of workforce taken into account by the Social Report has been modified: the workforce presented is the total workforce (and no longer “real” workforce).

Breakdown by gender of the workforce as of December 31 since 2010.

• "Agents with status": also referred to as "permanent executive" within SNCF, this notion designates a statutory position, whatever the agent's college, in accordance with the provisions of internal directive RH 001 ("Status of collective relations between the SNCF and its personnel").
• "Contractual agents": designates an agent who is not in the status, but who is linked to SNCF by a common law employment contract.

The statistic shows the distribution of the workforce across economic sectors in Spain from 2013 to 2023. In 2023, 3.62 percent of the workforce in Spain were employed in agriculture, 19.89 percent in industry and 76.49 percent in services.

The dataset provides statistics on employees in youth institutions, categorized by occupation, type of work, nationality, and gender. It includes details on the number of employees across different roles, distinguishing between full-time and part-time positions, and further classifying data by Qatari and non-Qatari workers, as well as male and female employees. This dataset supports analysis of workforce distribution and employment trends in youth-focused organizations.

Increase Transportation and Distribution employment from 122,984 in 2013 to 130,531 by 2017.

The statistic shows the distribution of the workforce across economic sectors in the Netherlands from 2013 to 2023. In 2023, 1.91 percent of the workforce in the Netherlands were employed in agriculture, 14.08 percent in industry and 84.01 percent in services.

Employment statistics on the Electricity Distribution industry in Australia

Employer contribution rates In Iowa can range from 0.0% to 9.0% depending on an individual employer's benefit experience and the rate table in effect.

This dataset summarizes UI contribution rate data for both private experienced rated employers and firms receiving a new employer rate by rate year.

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About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Floyd. The dataset can be utilized to gain insights into gender-based income distribution within the Floyd population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Floyd, among individuals aged 15 years and older with income, there were 126 men and 96 women in the workforce. Among them, 76 men were engaged in full-time, year-round employment, while 48 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.26% fell within the income range of under $24,999, while 4.17% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 10.53% of men in full-time roles earned incomes exceeding $100,000, while 2.08% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Huntington Park. The dataset can be utilized to gain insights into gender-based income distribution within the Huntington Park population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Huntington Park, among individuals aged 15 years and older with income, there were 17,315 men and 15,232 women in the workforce. Among them, 10,156 men were engaged in full-time, year-round employment, while 7,033 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 16.40% fell within the income range of under $24,999, while 20.62% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 4.62% of men in full-time roles earned incomes exceeding $100,000, while 3.61% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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 Huntington Park median household income by race. You can refer the same here

In 2023, the majority of the labor force in Algeria was working in the services sector. Since 2010, the services sector has employed around ** percent of the employees in the country. Employment rates by sector remained relatively stable in the period under review, with the industrial segment attracting approximately ** percent of the workforce. Economic contribution versus employment Interestingly, the employment distribution across sectors does not directly correlate with their contribution to Algeria's GDP. While services employ the majority of workers, the sector's economic output is proportionally smaller. In 2023, services accounted for ***** percent of GDP, followed closely by industry at ***** percent. Agriculture, despite employing the smallest share of workers, contributed a significant ***** percent to the GDP. This disparity highlights the varying productivity levels across sectors and the outsized economic impact of Algeria's resource-intensive industries. A challenging labor market The labor force in Algeria faces widespread unemployment. Specifically, finding a job is difficult for youth and women. In 2023, the youth unemployment rate was nearly ** percent, while ** percent of the female labor force was not employed. The highly educated population also represented the largest share of unemployed. Furthermore, high levels of informal employment in the country are a relevant concern for the labor market. Informality does not provide job security and even threatens the functioning of the formal sector. In recent times, secure employment has been more important than ever. According to government sources, at least ******* jobs have been lost in the country in 2020 due to the coronavirus (COVID-19) pandemic.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Colusa. The dataset can be utilized to gain insights into gender-based income distribution within the Colusa population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Colusa, among individuals aged 15 years and older with income, there were 2,062 men and 1,977 women in the workforce. Among them, 997 men were engaged in full-time, year-round employment, while 814 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.82% fell within the income range of under $24,999, while 7.37% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 29.59% of men in full-time roles earned incomes exceeding $100,000, while 10.07% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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