In 2023, approximately ** percent of the labor force which were subject to social insurance and civil service regulations in Saudi Arabia were Saudi women, with the remaining roughly ** percent occupied by Saudi men. This ratio was similar in both the public and private sector.

A study on the publishing industry in the United States revealed that ** percent of employees in the field were cis women in 2019, whereas men accounted for ** percent. Cisgender men were more likely to be employed in executive level positions than in any other capacity, with women making up more than ** percent of marketing and publicity staff and literary agents. Meanwhile, transgender, intersex, and non-binary people had little to no representation in the industry.

This dataset shows the percentage distribution of workers across different industry divisions, such as agriculture, manufacturing, and services, under usual status (ps+ss). For years before 2017-18, the data was obtained from the quinquennial employment and unemployment surveys of NSSO conducted between 1983 (NSS 38th round) and 2011-12 (68th round). From 2017-18 the data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. The categorization by PLFS is as per NIC - 2008. Since 2017-18, 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.

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 Industry town. The dataset can be utilized to gain insights into gender-based income distribution within the Industry town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Industry town, among individuals aged 15 years and older with income, there were 352 men and 380 women in the workforce. Among them, 148 men were engaged in full-time, year-round employment, while 122 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 8.78% fell within the income range of under $24,999, while none of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 10.14% of men in full-time roles earned incomes exceeding $100,000, while 10.66% 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 Industry town 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 Industry. The dataset can be utilized to gain insights into gender-based income distribution within the Industry population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Industry, among individuals aged 15 years and older with income, there were 98 men and 91 women in the workforce. Among them, 66 men were engaged in full-time, year-round employment, while 54 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 40.91% fell within the income range of under $24,999, while none of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 10.61% of men in full-time roles earned incomes exceeding $100,000, while 18.52% 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 Industry median household income by race. You can refer the same here

Analysis of ‘Gender breakdown of employment in knowledge intensive business industries’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/jrc-10113-rio_gender_in_ki_biz on 07 January 2022.

--- Dataset description provided by original source is as follows ---

Data on employment in knowledge intensive business industries, expressed as thousands of employees and as a share of total employment. Gender shares are also provided. Created by filtering the original Eurostat dataset.

--- Original source retains full ownership of the source dataset ---

In 2024, South Carolina and the District of Columbia's tech sector workforce had the greatest gender balance, with ** percent male and ** percent female. Wyoming had the least share of women among other states for tech sector workers that year, with women representing around ** percent. Overall, the female workforce made up around ********* of the tech workforce in the United States.

The highest share of people, both male and female, were employed in the ************* industry in the beginning of 2024 in Romania. The industries that recorded a notable difference in gender employment were ********* and ****************************, where the share of employed women was considerably higher. Meanwhile, men dominated the ************ and ********************* sectors.

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 Industry town. The dataset can be utilized to gain insights into gender-based income distribution within the Industry town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Industry town, among individuals aged 15 years and older with income, there were 417 men and 406 women in the workforce. Among them, 174 men were engaged in full-time, year-round employment, while 130 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.60% fell within the income range of under $24,999, while 13.85% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 13.22% of men in full-time roles earned incomes exceeding $100,000, while 2.31% 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)

https://i.neilsberg.com/ch/industry-me-income-distribution-by-gender-and-employment-type.jpeg" alt="Industry, Maine gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Industry town median household income by gender. 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 Industry. The dataset can be utilized to gain insights into gender-based income distribution within the Industry population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Industry, among individuals aged 15 years and older with income, there were 638 men and 681 women in the workforce. Among them, 307 men were engaged in full-time, year-round employment, while 235 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 9.12% fell within the income range of under $24,999, while 4.68% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 23.78% of men in full-time roles earned incomes exceeding $100,000, while 8.94% 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 Industry median household income by race. You can refer the same here

Number of persons in the labour force (employment and unemployment) and unemployment rate, by North American Industry Classification System (NAICS), gender and age group.

In 2024, over 733,000 people worked in the field of culture, media and sports in the United Kingdom, 270,800 of which were classified as part-time positions. When it came to male employees, there were almost 280,000 thousand in full-time positions within the industry.

Employment by industry and sex, UK, published quarterly, non-seasonally adjusted. Labour Force Survey. These are official statistics in development.

As of 2022, **** percent of the male and *** percent of the female labor force were employed in Gaza's commerce, hotel, and restaurant sector. The total size of the labor force in Gaza was *** thousand individuals above the age of 15 years in that year.

Emergency medical services (EMS) workforce demographics in the United States do not reflect the diversity of the population served. Despite some efforts by professional organizations to create a more representative workforce, little has changed in the last decade. This scoping review aims to summarize existing literature on the demographic composition, recruitment, retention, and workplace experience of underrepresented groups within EMS. Peer-reviewed studies were obtained from a search of PubMed, CINAHL, Web of Science, ProQuest Thesis and Dissertations, and non-peer-reviewed (“gray”) literature from 1960 to present. Abstracts and included full-text articles were screened by two independent reviewers trained on inclusion/exclusion criteria. Studies were included if they pertained to the demographics, training, hiring, retention, promotion, compensation, or workplace experience of underrepresented groups in United States EMS by race, ethnicity, sexual orientation, or gender. Studies of non-EMS fire department activities were excluded. Disputes were resolved by two authors. A single reviewer screened the gray literature. Data extraction was performed using a standardized electronic form. Results were summarized qualitatively. We identified 87 relevant full-text articles from the peer-reviewed literature and 250 items of gray literature. Primary themes emerging from peer-reviewed literature included workplace experience (n = 48), demographics (n = 12), workforce entry and exit (n = 8), education and testing (n = 7), compensation and benefits (n = 5), and leadership, mentorship, and promotion (n = 4). Most articles focused on sex/gender comparisons (65/87, 75%), followed by race/ethnicity comparisons (42/87, 48%). Few articles examined sexual orientation (3/87, 3%). One study focused on telecommunicators and three included EMS physicians. Most studies (n = 60, 69%) were published in the last decade. In the gray literature, media articles (216/250, 86%) demonstrated significant industry discourse surrounding these primary themes. Existing EMS workforce research demonstrates continued underrepresentation of women and nonwhite personnel. Additionally, these studies raise concerns for pervasive negative workplace experiences including sexual harassment and factors that negatively affect recruitment and retention, including bias in candidate testing, a gender pay gap, and unequal promotion opportunities. Additional research is needed to elucidate recruitment and retention program efficacy, the demographic composition of EMS leadership, and the prevalence of racial harassment and discrimination in this workforce.

By year, number of female employees ('000), number of male employees ('000), gender ratio of female employees, gender ratio of male employees, gender ratio of female employees in agriculture, forestry, fishing, and animal husbandry industry, gender ratio of male employees in agriculture, forestry, fishing, and animal husbandry industry, gender ratio of female employees in mining and stone quarrying industry, gender ratio of male employees in mining and stone quarrying industry, gender ratio of female employees in manufacturing industry, gender ratio of male employees in manufacturing industry, gender ratio of female employees in electricity and gas supply industry, gender ratio of male employees in electricity and gas supply industry, gender ratio of female employees in water supply and pollution control industry, gender ratio of male employees in water supply and pollution control industry, gender ratio of female employees in business engineering industry, gender ratio of male employees in business engineering industry, gender ratio of female employees in wholesale and retail industry, gender ratio of male employees in wholesale and retail industry, gender ratio of female employees in transportation and warehousing industry, gender ratio of male employees in transportation and warehousing industry, gender ratio of female employees in accommodation and catering industry, gender ratio of male employees in accommodation and catering industry, gender ratio of female employees in publishing, audiovisual production, broadcasting, and information services industry, gender ratio of male employees in publishing, audiovisual production, broadcasting, and information services industry, gender ratio of female employees in financial and insurance industry, gender ratio of male employees in financial and insurance industry, gender ratio of female employees in real estate industry, gender ratio of male employees in real estate industry, gender ratio of female employees in professional, scientific, and technical services industry, gender ratio of male employees in professional, scientific, and technical services industry, gender ratio of female employees in support services industry, gender ratio of male employees in support services industry, gender ratio of female employees in public administration and defense industry, gender ratio of male employees in public administration and defense industry, gender ratio of female employees in education industry, gender ratio of male employees in education industry, gender ratio of female employees in healthcare and social work services industry, gender ratio of male employees in healthcare and social work services industry, gender ratio of female employees in arts, entertainment, and leisure services industry, gender ratio of male employees in arts, entertainment, and leisure services industry, gender ratio of female employees in other services industry, gender ratio of male employees in other services industry, gender ratio of female employees in legislative officials, senior officials, and managers industry, gender ratio of male employees in legislative officials, senior officials, and managers industry, gender ratio of female employees in professional industry, gender ratio of male employees in professional industry, gender ratio of female employees in technical and assistant professional industry, gender ratio of male employees in technical and assistant professional industry, gender ratio of female employees in administrative support staff industry, gender ratio of male employees in administrative support staff industry, gender ratio of female employees in service and sales staff industry, gender ratio of male employees in service and sales staff industry, gender ratio of female employees in agriculture, forestry, fishing, and animal husbandry production staff industry, gender ratio of male employees in agriculture, forestry, fishing, and animal husbandry production staff industry, gender ratio of female employees in skilled agricultural and related workers, machinery operators and laborers industry, gender ratio of male employees in skilled agricultural and related workers, machinery operators and laborers industry, gender ratio of female employers, gender ratio of male employers, gender ratio of female self-employed workers, gender ratio of male self-employed workers, gender ratio of female employees hired by private employers, gender ratio of male employees hired by private employers, gender ratio of female employees hired by government, gender ratio of male employees hired by government, gender ratio of female unpaid family workers, gender ratio of male unpaid family workers.

Explore gender statistics data focusing on academic staff, employment, fertility rates, GDP, poverty, and more in the GCC region. Access comprehensive information on key indicators for Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

academic staff, Access to anti-retroviral drugs, Adjusted net enrollment rate, Administration and Law programmes, Age at first marriage, Age dependency ratio, Cause of death, Children out of school, Completeness of birth registration, consumer prices, Cost of business start-up procedures, Employers, Employment in agriculture, Employment in industry, Employment in services, employment or training, Engineering and Mathematics programmes, Female headed households, Female migrants, Fertility planning status: mistimed pregnancy, Fertility planning status: planned pregnancy, Fertility rate, Firms with female participation in ownership, Fisheries and Veterinary programmes, Forestry, GDP, GDP growth, GDP per capita, gender parity index, Gini index, GNI, GNI per capita, Government expenditure on education, Government expenditure per student, Gross graduation ratio, Households with water on the premises, Inflation, Informal employment, Labor force, Labor force with advanced education, Labor force with basic education, Labor force with intermediate education, Learning poverty, Length of paid maternity leave, Life expectancy at birth, Mandatory retirement age, Manufacturing and Construction programmes, Mathematics and Statistics programmes, Number of under-five deaths, Part time employment, Population, Poverty headcount ratio at national poverty lines, PPP, Primary completion rate, Retirement age with full benefits, Retirement age with partial benefits, Rural population, Sex ratio at birth, Unemployment, Unemployment with advanced education, Urban population

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

Follow data.kapsarc.org for timely data to advance energy economics research.

This bar chart displays employees (people) by CEO gender using the aggregation sum. The data is filtered where the industry is Diversified Consumer Services. The data is about companies.

In 2019, the majority of people employed in Algeria (62.2 percent) were working in the private sector. On the other hand, the public sector attracted the vast majority of female labor force, corresponding to over 61 percent of women employed in the country.

This bar chart displays employees (people) by CEO gender using the aggregation sum. The data is filtered where the industry is Biotechnology. The data is about companies.