According to a survey conducted in the United States in 2023, men were more likely than women to either personally own a gun or live in a gun owning household. At this time, ** percent of American men personally owned a firearm, compared to ** percent of women.

In the United States in 2023, significantly more men than women died due to injuries involving firearms. In that year, ***** women died from injuries involving firearms across the country compared to ****** men.

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 Gun Plain township. 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 Gun Plain township, the median income for all workers aged 15 years and older, regardless of work hours, was $53,731 for males and $29,536 for females.

These income figures highlight a substantial gender-based income gap in Gun Plain township. Women, regardless of work hours, earn 55 cents for each dollar earned by men. This significant gender pay gap, approximately 45%, underscores concerning gender-based income inequality in the township of Gun Plain township.

- Full-time workers, aged 15 years and older: In Gun Plain township, among full-time, year-round workers aged 15 years and older, males earned a median income of $69,698, while females earned $61,513, resulting in a 12% gender pay gap among full-time workers. This illustrates that women earn 88 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 township of Gun Plain township.

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 Gun Plain township.

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 Gun Plain township 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 Gun Barrel City. 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 Gun Barrel City, the median income for all workers aged 15 years and older, regardless of work hours, was $34,623 for males and $28,611 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 17% between the median incomes of males and females in Gun Barrel City. With women, regardless of work hours, earning 83 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Gun Barrel City.

- Full-time workers, aged 15 years and older: In Gun Barrel City, among full-time, year-round workers aged 15 years and older, males earned a median income of $67,545, while females earned $51,190, leading to a 24% gender pay gap among full-time workers. This illustrates that women earn 76 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.

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 Gun Barrel City, 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 Gun Barrel City median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Gun Plain township. The dataset can be utilized to gain insights into gender-based income distribution within the Gun Plain township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Gun Plain township, among individuals aged 15 years and older with income, there were 2,236 men and 2,276 women in the workforce. Among them, 1,384 men were engaged in full-time, year-round employment, while 841 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 3.40% fell within the income range of under $24,999, while 2.14% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 25.07% of men in full-time roles earned incomes exceeding $100,000, while 14.03% 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 Gun Plain township 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 Rifle. 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 Rifle, the median income for all workers aged 15 years and older, regardless of work hours, was $46,212 for males and $28,986 for females.

These income figures highlight a substantial gender-based income gap in Rifle. Women, regardless of work hours, earn 63 cents for each dollar earned by men. This significant gender pay gap, approximately 37%, underscores concerning gender-based income inequality in the city of Rifle.

- Full-time workers, aged 15 years and older: In Rifle, among full-time, year-round workers aged 15 years and older, males earned a median income of $56,886, while females earned $42,377, leading to a 26% gender pay gap among full-time workers. This illustrates that women earn 74 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 Rifle.

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

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (324) | Female # 70-74 years (354). 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 Gun Barrel City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Gun Barrel City is shown in the following column.
• Population (Female): The female population in the Gun Barrel City 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 Gun Barrel City 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 Gun Barrel City Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (322) | Female # 50-54 years (299). 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 Gun Plain township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Gun Plain township is shown in the following column.
• Population (Female): The female population in the Gun Plain township 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 Gun Plain township 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 Gun Plain township Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 0-4 years (646) | Female # 5-9 years (558). 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 Rifle population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Rifle is shown in the following column.
• Population (Female): The female population in the Rifle 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 Rifle 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 Rifle Population by Gender. You can refer the same here

Since the 1950s, the suicide rate in the United States has been significantly higher among men than women. In 2022, the suicide rate among men was almost four times higher than that of women. However, the rate of suicide for both men and women has increased gradually over the past couple of decades. Facts on suicide in the United States In 2022, the rate of suicide death in the United States was around 14 per 100,000 population. The suicide rate in the U.S. has generally increased since the year 2000, with the highest rates ever recorded in the years 2018 and 2022. In the United States, death rates from suicide are highest among those aged 45 to 64 years and lowest among younger adults aged 15 to 24. The states with the highest rates of suicide are Montana, Alaska, and Wyoming, while New Jersey and Massachusetts have the lowest rates. Suicide among men In 2023, around 4.5 percent of men in the United States reported having serious thoughts of suicide in the past year. Although this rate is lower than that of women, men still have a higher rate of suicide death than women. One reason for this may have to do with the method of suicide. Although firearms account for the largest share of suicide deaths among both men and women, firearms account for almost 60 percent of all suicides among men and just 35 percent among women. Suffocation and poisoning are the other most common methods of suicide among women, with the chances of surviving a suicide attempt from these methods being much higher than surviving an attempt by firearm. The age group with the highest rate of suicide death among men is by far those aged 75 years and over.

Between 1982 and August 2025, 84 out of the 155 mass shootings in the United States were carried out by white shooters. By comparison, the perpetrator was Black in 26 mass shootings and Latino in 12. When calculated as percentages, this amounts to 54 percent, 17 percent, and eight percent, respectively. Race of mass shooters reflects the U.S. population Broadly speaking, the racial distribution of mass shootings mirrors the racial distribution of the U.S. population as a whole. While a superficial comparison of the statistics seems to suggest African American shooters are over-represented and Latino shooters underrepresented, the fact that the shooter’s race is unclear in around nine percent of cases, along with the different time frames over which these statistics are calculated, means no such conclusions should be drawn. Conversely, looking at the mass shootings in the United States by gender clearly demonstrates that the majority of mass shootings are carried out by men. Mass shootings and mental health With no clear patterns between the socio-economic or cultural background of mass shooters, increasing attention has been placed on mental health. Analysis of the factors Americans considered to be to blame for mass shootings showed 80 percent of people felt the inability of the mental health system to recognize those who pose a danger to others was a significant factor. This concern is not without merit – in over half of the mass shootings since 1982, the shooter showed prior signs of mental health issues, suggesting improved mental health services may help deal with this horrific problem. Mass shootings and guns In the wake of multiple mass shootings, critics have sought to look beyond the issues of shooter identification and their influences by focusing on their access to guns. The majority of mass shootings in the U.S. involve firearms which were obtained legally, reflecting the easy ability of Americans to purchase and carry deadly weapons in public. Gun control takes on a particular significance when the uniquely American phenomenon of school shootings is considered. The annual number of incidents involving firearms at K-12 schools in the U.S. was over 100 in each year since 2018. Conversely, similar incidents in other developed countries exceptionally rare, with only five school shootings in G7 countries other than the U.S. between 2009 and 2018.

In 2024, around 17 percent of men in the United States received mental health treatment or counseling in the past year. The share of men who have received treatment for mental health problems has increased over the past couple decades likely due to a decrease in stigma around seeking such help and increased awareness of mental health issues. However, women in the U.S. are still much more likely to receive mental health treatment than men. Mental illness among men No one is immune to mental illness and the impact of mental health problems can be severe and debilitating. In 2023, it was estimated that 19 percent of men in the United States had some form of mental illness in the past year. Two of the most common mental disorders among men and women alike are anxiety disorders and depression. Depression is more common among men in their late teens and early 20s, with around 15 percent of U.S. men aged 21 to 25 years reporting experiencing a major depressive episode in the past year as of 2022. Depression is a very treatable condition, but those suffering from depression are at a much higher risk of suicide than those who do not have depression. Suicide among men Although women in the United States are more likely to report suffering from mental illness than men, the suicide rate among U.S. men is around 3.7 times higher than that of women. Suicide deaths among men are much more likely to involve the use of firearms, which may explain some of the disparity in suicide deaths between men and women. In 2020, around 58 percent of suicide deaths among men were from firearms compared to just 33 percent of suicide deaths among women. Although more people in the United States are accessing mental health, barriers to treatment persist. In 2022, the thought that they could handle the problem without treatment was the number one reason U.S. adults gave for not receiving the mental health treatment they required.

The suicide rate among females in the United States is highest for those aged 45 to 64 years and lowest among girls aged 10 to 14 and elderly women 75 and over. Although the suicide rate among women remains over three times lower than that of men, rates of suicide among women have gradually increased over the past couple decades. Suicide among women in the United States In 2021, there were around six suicide deaths per 100,000 women in the United States. In comparison, the rate of suicide among women in the year 2000 was about four per 100,000. Suicide rates among women are by far the highest among American Indians or Alaska Natives and lowest among Hispanic and Black or African American women. Although firearms are involved in the highest share of suicide deaths among both men and women, they account for a much smaller share among women. In 2020, the firearm suicide rate among women was 1.8 per 100,000 population, while the rates of suicide for suffocation and poisoning were 1.7 and 1.5 per 100,000, respectively. Suicidal ideation among women Although not everyone who experiences suicidal ideation, or suicidal thoughts, will attempt suicide, suicidal thoughts are a risk factor for suicide. In 2022, just over five percent of women in the United States reported having serious thoughts of suicide in the past year. Suicidal thoughts are more common among women than men even though men have much higher rates of death from suicide than women. This is because men are more likely to use more lethal methods of suicide such as firearms. Women who suffer from substance use disorder are significantly more likely to have serious thoughts of suicide than women without substance use disorder.

In 2022, the number of homicides in Denmark increased again after years of decline. That year, 55 homicides were registered. According to the Danish Penal Code, the penalty for homicide ranges from a minimum of a five-year prison sentence to imprisonment for life. Imprisonment for life implies 12 years in prison, before the inmate can apply for probation. Over the past decade, the total number of reported crimes in Denmark decreased.

Victims of crime  In 2021, the number of victims of criminal offences reported in Denmark fell below 60,000. This was the lowest number over the past 10 years. The most common type of crime experienced by Danes was violent crimes. The number was higher for men than for women.

Peaceful country  In general, Denmark is considered a safe and peaceful country. In 2022, the country was ranked the sixth most peaceful country in the world, only behind Iceland, New Zealand, Ireland, Austria, and Portugal. This ranking is measured by the level of social safety and security, the extent of ongoing domestic and international conflicts, and the degree of militarization.

There were 535 homicides recorded in England and Wales in 2024/25, the fewest number of homicides in a reporting year since 2013/14, when there were 533. Between 2002/03 and 2013/14, the number of homicides in England and Wales fell significantly before rising again in the late 2010s. This increase in homicides occurred alongside an increase in the overall number of crimes, with police officials linking this to long-term cuts to their manpower and resources. Knives involved in almost half of all homicides In the 2023/24 reporting year, homicides involving a sharp instrument were involved in 262 incidents, an increase on the previous reporting year, when there were 243 knife homicides. As a proportion of all homicides, sharp instruments were the main method of killing, and were used in 46 percent of all homicides in 2023/23. Firearm homicides are quite rare in England and Wales, with shooting homicides only accounting for 3.9 percent of all homicides in the same reporting year. Since 2011/12 there have been 369 firearm homicides in England and Wales, compared with 3,743 knife homicides in the same period. Homicide rate highest in Lincolnshire With 104 homicides, London was the UK region with the highest number of homicides in 2024/25, although it was behind several police areas when it came to the homicide rate. At 17.9 homicides per one million people, Lincolnshire Police had the highest homicide rate in England and Wales in 2024/25. When compared with the rest of the UK, the overall homicide rate in England and Wales was above that of Northern Ireland, but below that of Scotland. In all jurisdictions of the UK, the homicide rate is however far lower in the 2020s than it was during the 2000s.