Over the past decades, more and more women have entered the labor market around the world. Today, over 40 percent of the global workforce are women. However, only one third are in senior roles, and less than 30 percent work within science, technology, engineering, and mathematics (STEM). The Global Gender Index benchmarks national gender gaps on economic, political, education, and health-based criteria. In 2024, the leading country was Iceland .

The average Women's Empowerment Index (WEI) score worldwide is 0.607, meaning that globally, women are only empowered to achieve 60 percent of their full potential. Australia and New Zealand have the highest scores out of each region, while Sub-Saharan Africa has the lowest. Participation in decision-making is the lowest-scoring area for each region, and overall, there is no region that has achieved a perfect score.

A comprehensive list of data sources relating to violence against women and girls, bringing together a range of different sources from across government, academia and the voluntary sector.

Graph and download economic data for Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years for United States (LREM25FEUSQ156S) from Q1 1977 to Q4 2024 about 25 to 54 years, employment-population ratio, females, employment, population, rate, and USA.

In October 2024, the unadjusted unemployment rate of women in the United States stood at 3.9 percent. This was a no change from the previous month. What is seasonal adjustment? Seasonal adjustment is a statistical method that attempts to remove seasonal patters from figures to show how employment and unemployment changes from month to month. For example, seasonal adjustment is used to account for the extra people that are hired in retail around Christmas. Seasonal adjustment makes it so that monthly data can be compared more accurately over the long term. When looking at the seasonally adjusted female unemployment rate, for example, one can see that it is more uniform than the unadjusted rate in order to account for the seasonal component. Unemployment in the United States Unemployment in the United States is seen as a critical indicator of how the economy is doing. In 2010, for example, unemployment in the U.S. was at 9.6 percent due to the Great Recession – the highest figure since 1990. Since 2010, unemployment has been steadily falling as the economy has recovered, and even hit its lowest point since 1990 in 2022, at 3.6 percent. Due to the coronavirus pandemic, unemployment in 2021 soared to 8.1 percent.

Graph and download economic data for Unemployment Rate - Women (LNS14000002) from Jan 1948 to Feb 2025 about females, 16 years +, household survey, unemployment, rate, and USA.

Graph and download economic data for Unemployment Rate - 35-44 Yrs., Women (LNS14000334) from Jan 1948 to Feb 2025 about 35 to 44 years, females, household survey, unemployment, rate, and USA.

Graph and download economic data for Labor Force Participation Rate - Women (LNU01300002) from Jan 1948 to Feb 2025 about females, participation, civilian, 16 years +, labor force, labor, household survey, rate, and USA.

The unemployment rate among the female labor force in the United States decreased from the previous year to 3.9 percent in 2024. The unemployment rate of women in the U.S. reached a high of 8.6 percent in 2010.

Graph and download economic data for Labor Force Participation Rate - 20 Yrs. & over, Women (LNU01300026) from Jan 1948 to Feb 2025 about 20 years +, females, participation, civilian, labor force, labor, household survey, rate, and USA.

United States US: Population: as % of Total: Female: Aged 65 and Above data was reported at 16.925 % in 2017. This records an increase from the previous number of 16.550 % for 2016. United States US: Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 14.035 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 16.925 % in 2017 and a record low of 10.023 % in 1960. United States US: Population: as % of Total: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

The number of young women between the ages of 15 and 49 is expected to increase worldwide between 2013 and 2025. In 2013, the total number of women globally was 1.8 billion and that is expected to increase to almost 2 billion by 2025. The U.S. accounts for a small proportion of the total number of women globally at just 74.7 million in 2013.

Global demographics

Most recent estimates place the total global population at approximately 7.7 billion people. In mid-2018 the continent with the largest proportion of the global population was Asia, followed by Africa. While North America and Oceania were some of the least populated areas of the world. The age distribution of the population varies by region as well. For example, the percentage of the global population between the ages of 15 and 64 years varies between 56 percent and 68 percent.

Women’s health worldwide

Women face different health challenges depending on the region and country. One important global health issue is maternal mortality. The country with the highest maternal mortality rate in 2015 was Sierra Leone. The country with the highest estimated birth rate between 2015 and 2020 is expected to be Niger, which is also among the countries with the highest maternal mortality rate. Among developed nations, the United States had the highest maternal mortality rate in 2015.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 5-9 years (105) | Female # 35-39 years (91). 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 Wakefield population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Wakefield is shown in the following column.
• Population (Female): The female population in the Wakefield 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 Wakefield 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 Wakefield Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (98) | Female # 60-64 years (125). 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 Long Beach population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Long Beach is shown in the following column.
• Population (Female): The female population in the Long Beach 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 Long Beach 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 Long Beach Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 40-44 years (1,078) | Female # 35-39 years (946). 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 Windham town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Windham town is shown in the following column.
• Population (Female): The female population in the Windham town 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 Windham town 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 Windham town Population by Gender. You can refer the same here

This report presents statistics on women’s smoking status at time of delivery, at Sub Integrated Care Board (Sub-ICB), Integrated Care Board (ICB), regional and national levels. This release includes data for quarter 4 of 2023-24 alongside finalised data for the 2023-24 financial year. Please see DQ table 1 for details of coverage issues given by submitters for this collection.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 15-19 years (1,015) | Female # 20-24 years (1,009). 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 Hastings population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Hastings is shown in the following column.
• Population (Female): The female population in the Hastings 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 Hastings 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 Hastings Population by Gender. You can refer the same here

France FR: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data was reported at 7.000 % in 2012. France FR: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data is updated yearly, averaging 7.000 % from Dec 2012 (Median) to 2012, with 1 observations. France FR: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Health Statistics. Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.; ; United Nations Statistics Division (UNSD); Weighted Average;

Graph and download economic data for Infra-Annual Labor Statistics: Labor Force Participation Rate Female: From 15 to 74 Years for United States (LRAC74FEUSQ156S) from Q1 1981 to Q4 2024 about 15 to 74 years, females, participation, labor force, labor, rate, and USA.

United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 0.700 % in 2012. This records an increase from the previous number of 0.500 % for 2009. United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 0.550 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 0.800 % in 2005 and a record low of 0.100 % in 2001. United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.