Worldwide, the male population is slightly higher than the female population, although this varies by country. As of 2023, Hong Kong has the highest share of women worldwide with almost ** percent. Moldova followed behind with ** percent. Among the countries with the largest share of women in the total population, several were former Soviet-states or were located in Eastern Europe. By contrast, Qatar, the United Arab Emirates, and Oman had some of the highest proportions of men in their populations.

Worldwide, the male population is slightly higher than the female population. As of 2023, the country with the highest percentage of men was Qatar, with only slightly more than *********** of the total population being women. The United Arab Emirates followed with ** percent. Different factors can influence the gender distribution in a population, such as life expectancy, the sex ratio at birth, and immigration. For instance, in Qatar, the large share of males is due to the high immigration flows of male labor in the country.

The average for 2023 based on 47 countries was 51.06 percent. The highest value was in Moldova: 53.98 percent and the lowest value was in Malta: 48.11 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The average for 2022 based on 117 countries was 1.21 percent. The highest value was in Qatar: 1.79 percent and the lowest value was in Benin: 0.59 percent. The indicator is available from 1970 to 2023. Below is a chart for all countries where data are available.

In 2020 Germany remained the largest population in the European Union with over 83 million inhabitants. In Germany, France, Spain and Italy most euorpean countries have a larger female then male population. Only in Ireland, Luxembourg, Malta, Serbia and Sweden consitute men the mayority of inhabitants. Germany was the largest population of both genders in Europe, with 42.1 million females and 41 million males.

Alaska had the highest male to female ratio in the United States in 2020, with ***** men for every 100 women. The male to female ratio was lowest in the District of Columbia, with **** men for every 100 women. The final frontier Alaska, which was purchased from the Russian Empire in 1867, is the largest state in the U.S. and one of the newest states, having been admitted to the U.S. in 1959. Although oil production dominates the economy, Alaska has a very high poverty rate and consistently has the highest unemployment rate in the country. It’s a man’s world Alaska is one of 10 states in the U.S. that has more men than women. The male to female ratio in the United States as a whole is about even, but as the population ages, there tend to be more females than males. Even though the sex ratio in the U.S. is almost one to one, a little more than ** percent of all females participated in the labor force in 2021, compared with **** percent of men.

The average for 2023 based on 47 countries was 48.3 percent. The highest value was in Hong Kong: 54.92 percent and the lowest value was in Qatar: 28.48 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The comparative European survey on the participation and representation of women in Europe was conducted by Ipsos on behalf of the Konrad Adenauer Foundation. The countries selected were Germany, Italy, Croatia, Poland and Sweden. During the survey period 24.09.2021 to 22.03.2022, eligible voters aged 18 and over in the selected survey countries were interviewed by telephone (CATI) on the following topics: life satisfaction, importance and satisfaction of life areas, perception of the suitability of men and women, perception of gender-specific characteristics, prejudices against women and men, equal rights, gender equality and representation, experience and assessment of discrimination, political participation, trust in institutions, satisfaction with democracy and Sunday question. The respondents were selected using a stratified random sample including landline and mobile phone numbers (dual-frame sample).
Life satisfaction; importance of the individual areas of life family, time for oneself, friends, work and career; most important area of life (pretest only); satisfaction with the aforementioned areas of life; perception of gender-specific characteristics: Description woman/man (It is important to her/him to be rich. She/he wants to have a lot of money and own expensive things, It is important to her/him to be very successful. She/he hopes that people will recognize her/his achievements, It is important to her/him that others respect her/him. She/he wants people to do what she/he says, She/he identifies herself/himself as a feminist, She/he is very committed and wants to help shape society, She/he cares a lot about her/his appearance); perception of the suitability of men and women: Professional suitability to run a large company, to be head of government, to be a journalist, to take care of children, to be a general in the armed forces; better suitability of man or woman to be a member of parliament to represent political interests; prejudices women and men (women are more likely to make decisions based on emotions than men, men are more likely to be involved in corrupt activities than women, taking care of home and family is more important to women than men); support political measures for equal rights for men and women (extension of paid parental leave by three months on condition that both parents take part of this parental leave, binding quota of 50% men and 50% women on the supervisory boards of large companies, a place in a kindergarten must be offered for every child between the ages of 3 and 6); effects of the discussion about gender equality (discussion about gender equality in the country causes more problems than it solves, lowers the reputation of mothers who raise their children at home, makes our society better, gender equality is a problem of people who have no real problems, gender equality promotes economic development in the country, measures for more gender equality in the country harm our culture); extent of the problem of discrimination against women in society; agreement with statements on the state of gender equality in the country (women earn significantly less than their fair share, women have fewer opportunities than men to have an influential political career, women have fewer opportunities than men to reach the top of a company, women are often beaten by men or subjected to other forms of physical violence, women have to give up having children to be successful in their job, it is easier for girls than boys to get good grades at school, women are often financially dependent on their partner´s income); frequency of own experience of discrimination (discrimination of women against men, men against women, non-binary persons against binary persons); situation of discrimination (salary, behavior of salesmen or craftsmen, new job or promotion); state and politics: Political engagement (e.g. contact with a politician or official, involvement in a political party or group, etc.); political interest; assessment of own political participation opportunities (pretest only); assessment of own political abilities (pretest only); assessment of own opportunities to influence politics; confidence in own abilities to participate in politics; confidence in institutions (parliament, judiciary, police, government, European Union); satisfaction with democracy; party preference (Sunday question).

Demography: sex; age; age groups own allocation and total; employment status; religious affiliation; denomination or religious community; frequency of church attendance; residential environment; education; personal migration background or parents´ migration background; assessment of income situation; household size; number of persons in the household aged 18 and over.

Additionally coded were: Respondent ID; weighting factors; number of complete interviews; interview pretest vs. main survey; month, day and year of interview; interview date; start of interview; end of interview, duration in seconds;...

The average for 2023 based on 53 countries was 50.08 percent. The highest value was in Zimbabwe: 52.38 percent and the lowest value was in the Seychelles: 44.82 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

In 2025, Costa Rica was the Latin American country with the highest gender gap index, with 0.786 points. Another Central American country, Belize, had the worst score in the region with 0.7 points. This means that, on average, women in this country have 30 percent less opportunities than men in education, health, the economy, and politics.

Gender Inequality in Latin America
Based on a 2023 survey conducted among the populace in each nation, Mexico has been perceived as having the least gender-based wage equality, receiving a score of 0.5 out of 1, which is the lowest. In contrast, Barbados is regarded as the most gender-equal among the LATAM countries. Furthermore, the labor market exhibits a male bias, as women have consistently experienced higher unemployment rates over the years, with a rate of 11.3 percent as of 2021. Additionally, it is more common across the countries to observe a greater proportion of females experiencing higher poverty rates, with Mexican and Colombian women being the primary two groups representing this circumstance.

Literacy gender gap
As education progresses in both the educational and labor sectors, the goal is to ensure that basic literacy is accessible to everyone. However, research data reveals that the gender parity index for adult and youth literacy in Latin America remains at around 1 percent. This means that one woman out of 100 is less likely to possess literacy skills compared to men. Furthermore, this rate shows a significant gender gap, with 93.71 percent of females in this region accounting for this skill. Consequently, in the labor field, there are implications for skilled workers due to this literacy gap, resulting in higher rates of unemployment, a lack of training, and a non-educational population. This issue affects approximately 28.4 percent of women in Latin America.

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 Brazos Country. 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 Brazos Country, the median income for all workers aged 15 years and older, regardless of work hours, was $77,000 for males and $26,000 for females.

These income figures highlight a substantial gender-based income gap in Brazos Country. Women, regardless of work hours, earn 34 cents for each dollar earned by men. This significant gender pay gap, approximately 66%, underscores concerning gender-based income inequality in the city of Brazos Country.

- Full-time workers, aged 15 years and older: In Brazos Country, among full-time, year-round workers aged 15 years and older, males earned a median income of $97,083, while females earned $82,500, resulting in a 15% gender pay gap among full-time workers. This illustrates that women earn 85 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 city of Brazos Country.

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 Brazos Country.

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

The gap between the number of women and men in Russia was measured at approximately 10.3 million as of January 1, 2024, with the female population of the country historically outnumbering the male population. Both genders saw a decrease in inhabitants compared to the previous year. Why are there more women than men in Russia? One of the factors explaining gender imbalance in modern Russia is the gap in average life expectancy between the genders. In 2022, Russian women outlived men by around 10 years. In particular, working-age men were six times more likely to die from external causes of death, such as accidents and suicides, compared to working age women in that year. Furthermore, partial mobilization announced as a result of the Russia-Ukraine war resulted in a mass exodus of young men fleeing from conscription. In response to the government’s call to recruit up to 300,000 reservists in end-September 2022, Google search interest in the term "How to leave Russia" increased sharply. Gender imbalance and its consequences for Russia In Russia, the labor market remains highly segregated by gender. Manual jobs in equipment operation, metal industry, manufacturing, and mechanics are male dominated. The labor shortage in these spheres could limit the country’s potential for increased industrial production. Furthermore, fewer men exacerbate the issue of falling births in Russia. In 2023, only 1.26 million births were recorded nationwide, the lowest over the past decade. Coupled with a decreasing number of working-age men, such a decline in live births could lead to less innovation, a larger share of retired people, and rising government expenditure on pensions and healthcare.

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 Country Club. 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 Country Club, the median income for all workers aged 15 years and older, regardless of work hours, was $48,924 for males and $29,987 for females.

These income figures highlight a substantial gender-based income gap in Country Club. Women, regardless of work hours, earn 61 cents for each dollar earned by men. This significant gender pay gap, approximately 39%, underscores concerning gender-based income inequality in the village of Country Club.

- Full-time workers, aged 15 years and older: In Country Club, among full-time, year-round workers aged 15 years and older, males earned a median income of $62,422, while females earned $49,044, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Country Club.

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

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 Country Club Hills. 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 Country Club Hills, the median income for all workers aged 15 years and older, regardless of work hours, was $40,780 for males and $35,997 for females.

Based on these incomes, we observe a gender gap percentage of approximately 12%, indicating a significant disparity between the median incomes of males and females in Country Club Hills. Women, regardless of work hours, still earn 88 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

- Full-time workers, aged 15 years and older: In Country Club Hills, among full-time, year-round workers aged 15 years and older, males earned a median income of $47,047, while females earned $51,636

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.1 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

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 Country Club Hills median household income by race. You can refer the same here

According to the Gender Inequality Index (GII), Denmark and Norway were the most gender equal countries in the world in 2023, reporting an index of ***** and *****, respectively. The Gender Inequality Index measures inequality between women and men in three dimensions: reproductive health, empowerment, and the labor market. A low GII value indicates low inequality between women and men and vice versa. Yemen was considered the least gender equal country that same year. Gender inequality in the workplace The most prominent source of gender inequality is the workplace, often captured by the gender pay gap. In 2023, women still earned one percent less than their male counterparts with the same qualification and the same job. Women are less represented in senior roles and top management positions, with only one third percent of companies worldwide having a woman in leadership positions. The same situation can be observed in government roles - only 17 out of 195 countries worldwide have ever had a woman in the highest position of executive power. Future outlook Numbers on how long it will take to close gender gaps highly differ between regions. In Europe, it is estimated that it will take around 67 years to achieve equality between the genders. In East Asia and the Pacific, on the other hand, it is projected to take 189 years. New data shows that the COVID-19 pandemic has increased female poverty worldwide and widened the gender poverty gap even further. Heightened female poverty will also negatively impact the Gender Inequality Index (GII).

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 Country Life Acres. 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 Country Life Acres, while the Census reported a median income of $200,938 for all male workers aged 15 years and older, data for females in the same category was unavailable due to an insufficient number of sample observations.

Given the absence of income data for females from the Census Bureau, conducting a thorough analysis of gender-based pay disparity in the village of Country Life Acres was not possible.

- Full-time workers, aged 15 years and older: In Country Life Acres, among full-time, year-round workers aged 15 years and older, males earned a median income of $221,250, while females earned $101,250, leading to a 54% gender pay gap among full-time workers. This illustrates that women earn 46 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

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 Country Life Acres median household income by race. You can refer the same here

Context

Women roughly occupy half of the world's population but when it comes to the total workforce of a country, the percentage of male and female workers are rarely similar. This is even more prominent for the developing and underdeveloped countries. While several reasons such as the insufficient access to education, religious superstitions, lack of adequate infrastructures are responsible for this discrepancy, it goes way beyond these. And to show the effects of multiple socioeconomic factors on the participation of women in the total workforce, percentage of female employment in the total labor force has been considered. Using multiple linear regression model, the relationship between these factors can be analyzed.

Content

For the current study, the data set has been chosen from a survey performed on the population of Bangladesh. The datasets selected for this study span over 25 years (from 1995 to 2019). Data has been collected separately from multiple datasets from the World Bank databank for the employed women percentage and the related predictor variables. These datasets were compiled into one dataset and it corresponds to the 25 data points for the variables. There is one response variable which is the percentage of the employed women and 10 exlnanatory variables of predictors. Brief descriptions of these variables are given below.

PerFemEmploy Employment to population ratio (%) of women who are of age 15 or older. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.

FertilityRate Fertility rate (birth per women). Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.

RatioMaletoFemale Ratio of female to male labor force participation rate. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.

PerFemEmployers Employers, female (% of female employment). Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).

Agriculture Employment in agriculture, female (% of female employment). Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).

Industry Employment in industry, female (% of female employment). The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).

Services Employment in services, female (% of female employment). The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).

Wage.Salaried Wage and salaried workers, female (% of female employment). Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.

ContrFamWorkers Contributing family workers, female (% of female employment). Contribut...

The attrition of women in academic careers is a major concern, particularly in Science, Technology, Engineering, and Mathematics subjects. One factor that can contribute to the attrition is the lack of visible role models for women in academia. At early career stages, the behaviour of the local community may play a formative role in identifying ingroup role models, shaping women’s impressions of whether or not they can be successful in academia. One common and formative setting to observe role models is the local departmental academic seminar, talk, or presentation. We thus quantified women’s visibility through the question-asking behaviour of academics at seminars using observations and an online survey. From the survey responses of over 600 academics in 20 countries, we found that women reported asking fewer questions after seminars compared to men. This impression was supported by observational data from almost 250 seminars in 10 countries: women audience members asked absolutely and proportionally fewer questions than male audience members. When asked why they did not ask questions when they wanted to, women, more than men, endorsed internal factors (e.g., not working up the nerve). However, our observations suggest that structural factors might also play a role; when a man was the first to ask a question, or there were fewer questions, women asked proportionally fewer questions. Attempts to counteract the latter effect by manipulating the time for questions (in an effort to provoke more questions) in two departments were unsuccessful. We propose alternative recommendations for creating an environment that makes everyone feel more comfortable to ask questions, thus promoting equal visibility for women and members of other less visible groups.

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 Town And Country. 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 Town And Country, the median income for all workers aged 15 years and older, regardless of work hours, was $132,192 for males and $43,214 for females.

These income figures highlight a substantial gender-based income gap in Town And Country. Women, regardless of work hours, earn 33 cents for each dollar earned by men. This significant gender pay gap, approximately 67%, underscores concerning gender-based income inequality in the city of Town And Country.

- Full-time workers, aged 15 years and older: In Town And Country, among full-time, year-round workers aged 15 years and older, males earned a median income of $241,648, while females earned $91,529, leading to a 62% gender pay gap among full-time workers. This illustrates that women earn 38 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Town And Country, showcasing a consistent income pattern irrespective of employment status.

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 Town And Country median household income by race. You can refer the same here

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 Brazos Country. 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 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Brazos Country, the median income for all workers aged 15 years and older, regardless of work hours, was $94,243 for males and $32,427 for females.

These income figures highlight a substantial gender-based income gap in Brazos Country. Women, regardless of work hours, earn 34 cents for each dollar earned by men. This significant gender pay gap, approximately 66%, underscores concerning gender-based income inequality in the city of Brazos Country.

- Full-time workers, aged 15 years and older: In Brazos Country, among full-time, year-round workers aged 15 years and older, males earned a median income of $129,934, while females earned $83,771, leading to a 36% gender pay gap among full-time workers. This illustrates that women earn 64 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Brazos Country, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/brazos-country-tx-income-by-gender.jpeg" alt="Brazos Country, TX gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-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 2022
• 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 Brazos Country median household income by gender. You can refer the same here