Most people employed as journalists or newspaper and periodical editors in the United Kingdom in 2022 were male, according to a study which reported the figure as 59 percent that year. This marks a change from 2020, when women made up the majority of the workforce.

The statistic shows the gender breakdown of journalists employed at selected newspapers in the Unites States as of November 2017. According to the report, 41 percent of the journalists reporting for the New York Times were female as of the date of survey, and 48 percent of journalists at The Philadelphia Inquirer were women. The publication with the lowest share of female journalists was USA Today with 31 percent of women working for the newspaper in that role.

The statistic shows the gender distribution of journalists in news media in the United States as of November 2017, sorted by format. According to the report, 41 percent of journalists working in print news media in the United States were women, whilst 59 percent were men.

In 2018, seven percent of journalists killed in 2018 were women, whereas ** percent were men. Whilst female journalists are more likely to experience online harassment and threats, more male journalists work in warzones and report on sensitive topics such as crime and politics, placing them in greater and more immediate danger.

About this dataset

Context

The dataset tabulates the population of Media by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Media. The dataset can be utilized to understand the population distribution of Media by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Media. 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 Media.

Key observations

Largest age group (population): Male # 25-29 years (16) | Female # 60-64 years (13). 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 Media population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Media is shown in the following column.
• Population (Female): The female population in the Media 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 Media 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 Media Population by Gender. You can refer the same here

Percentage of persons aged 15 years and over by level of trust in news or information from media, by gender, for Canada, regions and provinces.

About this dataset

Context

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

Key observations

There is a majority of male population, with 57.58% of total population being male. 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 Media is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Media 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 Media Population by Race & Ethnicity. You can refer the same here

As of February 2025, X/Twitter was the social network with the highest share of male users, who accounted for 63.7 percent of global users. Overall, social media platforms were had more male users than female users.

Regional use of social media has a significant effect on the male and female social media statistics.

This statistic shows the percentage distribution of employed and self-employed journalists in Spain in 2018, by gender. In that year, employed women and men had an equal distribution, while self-employed men registered a ** percent of the distribution and women ** percent.

About this dataset

Context

The dataset tabulates the population of Media by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Media. The dataset can be utilized to understand the population distribution of Media by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Media. 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 Media.

Key observations

Largest age group (population): Male # 25-29 years (421) | Female # 25-29 years (420). 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 Media population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Media is shown in the following column.
• Population (Female): The female population in the Media 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 Media 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 Media Population by Gender. You can refer the same here

Percentage of persons aged 15 years and over by trust in media and main source of news, by gender and other selected sociodemographic characteristics.

As of January 2024, the largest share of male social media users in Ukraine was recorded on LinkedIn, at over 51 percent of the total. Instagram, Facebook Messenger, and Facebook tended to be largely used by female users across the country.

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.

As of February 2025, 50.2 percent of social media users in the United States were women, and 49.8 percent of users were men. In 2024, there were an estimated 304 million social media users in the country.

Between 2019 and 2025, the number of male journalists in Norway was higher than the number of female employees in this field. By the first quarter of 2025, there were over *** thousand male journalists compared to over *** thousand female journalists. Furthermore, the number of both male and female journalists increased over the period, despite a temporary decline following the outbreak of the pandemic in 2020.

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

Key observations

• Employment patterns: Within Media, among individuals aged 15 years and older with income, there were 50 men and 33 women in the workforce. Among them, 18 men were engaged in full-time, year-round employment, while 22 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, none 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: 11.11% of men in full-time roles earned incomes exceeding $100,000, while none 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 Media median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Media household income by gender. The dataset can be utilized to understand the gender-based income distribution of Media income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Media, IL annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Media, IL annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Media income distribution by gender. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Media, PA population pyramid, which represents the Media population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Media, PA, is 13.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Media, PA, is 31.5.
• Total dependency ratio for Media, PA is 44.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Media, PA is 3.2.

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

Variables / Data Columns

• Age Group: This column displays the age group for the Media population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Media for the selected age group is shown in the following column.
• Population (Female): The female population in the Media for the selected age group is shown in the following column.
• Total Population: The total population of the Media for the selected age group is shown in the following column.

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 Media Population by Age. You can refer the same here

As of December 2024, ** percent of women in the United States were using Meta's Instagram, compared to ** percent of men. Overall, ************** of women in the U.S. were using Facebook, as were ** percent of men.