This statistic presents the share of internet users in the United States who don't mind sharing their personal data with other companies if it means receiving more targeted or interesting advertisements as of May 2018, sorted by gender. According to the findings, 14 percent of surveyed male respondents and seven percent of female respondents both stated to not minding their personal data being shared for more targeted advertisements.

This statistic presents the types of personal information internet users in the United States are willing to share in general versus customization purposes as of June 2018. According to the findings, 93 percent of respondents stated that they would be willing to share their gender information in return for more customized content, while only 79 percent of respondents stated the same about sharing their citizenship status for the same purpose.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (69,724) | Female # 25-29 years (67,759). 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 Phoenix population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Phoenix is shown in the following column.
• Population (Female): The female population in the Phoenix 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 Phoenix 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 Phoenix Population by Gender. You can refer the same here

This statistic presents the distribution of shoppers in the United States who primarily research and purchase products via smartphone, sorted by gender. As of the third quarter of 2015, 53.4 percent of mobile-first shoppers were female.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (19,003) | Female # 25-29 years (17,978). 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 Tampa population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Tampa is shown in the following column.
• Population (Female): The female population in the Tampa 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 Tampa 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 Tampa Population by Gender. You can refer the same here

Men>women

## Overview

Men>women is a dataset for object detection tasks - it contains Menandtheinferiorgender annotations for 5,181 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Men And Women

## Overview

Men And Women is a dataset for object detection tasks - it contains People Gender annotations for 362 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (11.65 million) | Female # 30-34 years (11.41 million). 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 United States population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the United States is shown in the following column.
• Population (Female): The female population in the United States 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 United States 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 United States Population by Gender. You can refer the same here

Man Woman Y5

## Overview

Man Woman Y5 is a dataset for object detection tasks - it contains Man Woman annotations for 1,746 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The statistic shows the share of internet users in the United States who use selected social networking sites as of February 2017, sorted by gender. During the survey period, it was found that 82 percent of female internet users in the United States used Facebook.

Proportion of women and men employed in the National Occupational Classification (NOC) broad occupational categories, current year.

This statistic presents the number of active subscriptions among online subscription box customers in the United States as of November 2017, sorted by gender. According to the findings, 44 percent of female subscribers reported to paying for only one active subscription box service, while in comparison 40 percent of surveyed male subscribers stated the same.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (68,680) | Female # 25-29 years (62,701). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the San Diego population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the San Diego is shown in the following column.
• Population (Female): The female population in the San Diego 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 San Diego 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 San Diego Population by Gender. You can refer the same here

The proportion of male and female postsecondary graduates, by Classification of Instructional Programs, Primary groupings (CIP_PG), International Standard Classification of Education (ISCED) and age group.

Population, female (% of total population) in World was reported at 49.71 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Latvia - Women per 100 men was 115.80% in December of 2022, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Latvia - Women per 100 men - last updated from the EUROSTAT on July of 2025. Historically, Latvia - Women per 100 men reached a record high of 118.90% in December of 2011 and a record low of 115.80% in December of 2022.

The dataset "tps00011" has been discontinued since 17/07/2023.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (119) | Female # 65-69 years (123). 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 Hamilton population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Hamilton is shown in the following column.
• Population (Female): The female population in the Hamilton 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 Hamilton 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 Hamilton Population by Gender. You can refer the same here

Abstract Studies have investigated gender relations in the field of health, in the use of services and health care from the point of view of users, especially in primary care. By means of content analysis of interviews, this study investigated conceptions of gender and their relationship to the practices of six nurses, and five physicians working in outpatient and hospital care. This paper discusses gender differences in healthcare, and health services for men and women. The professionals interviewed reported differences in the service provided, and in the attitudes of male and female patients in health services, attributed to biological and social differences. In conclusion, gender issues are present in the practice of health professionals, and they must be considered in their training.

Are women more likely to quit politics after losing their first race than men? Women's first-time candidacies skyrocketed in the wake of the 2016 presidential election. Yet we have little sense of the long-term impact of this surge in women candidates on women's representation writ large: inexperienced candidates are more likely to lose, and women might be especially discouraged by a loss. This might make the benefits of such a surge in candidacies fleeting. Using a regression discontinuity design and data that feature 212,805 candidates across 22,473 jurisdictions between 1950 and 2018, we find that women who narrowly lose these elections are no more likely to quit politics than men who narrowly lose. Drawing on scholarship on women's lower political ambition, we interpret these findings to mean that women’s decision-making differs from men's at the point of entry into politics---not at the point of re-entry.