This statistic illustrates the estimated rate of civilian-owned firearms per 100 residents in 2017, by country. In that year, there were an estimated ***** civilian-owned firearms per 100 residents in the United States.

The share of American households owning at least one firearm has remained relatively steady since 1972, hovering between ** percent and ** percent. In 2024, about ** percent of U.S. households had at least one gun in their possession. Additional information on firearms in the United States Firearms command a higher degree of cultural significance in the United States than any other country in the world. Since the inclusion of the right to bear arms in the Second Amendment to the Constitution of the United States, firearms have held symbolic power beyond their already obvious material power. Despite many Americans being proud gun-owners, a large movement exists within the country in opposition to the freedom afforded to those in possession of these potentially deadly weapons. Those opposed to current gun regulation have sourced their anger from the large number of deaths due to firearms in the country, as well as the high frequency of gun violence apparent in comparison to other developed countries. Furthermore, the United States has fallen victim to a number of mass shootings in the last two decades, most of which have raised questions over the ease at which a person can obtain a firearm. Although this movement holds a significant position in the public political discourse of the United States, meaningful change regarding the legislation dictating the ownership of firearms has not occurred. Critics have pointed to the influence possessed by the National Rifle Association through their lobbying of public officials. The National Rifle Association also lobbies for the interests of firearm manufacturing in the United States, which has continued to rise since a fall in the early 2000s.

Texas was the state with the highest number of registered weapons in the United States in 2024, with 1,136,732 firearms. Rhode Island, on the other hand, had the least, with 4,895 registered firearms. Gun laws in the United States Gun ownership in the U.S. is protected by the 2nd Amendment of the Constitution, which allows citizens to own firearms and form a militia if necessary. Outside of the 2nd Amendment, gun laws in the U.S. vary from state to state, and gun owners are subject to the laws of the state they are currently in, not necessarily the state they live in. For example, if concealed carry is allowed in a gun owner’s state of residence but not in the state they are traveling in, the owner is subject to the law of the state they are traveling in. Civilian-owned firearms The United States is estimated to have the highest rate of civilian-owned firearms in the world, more than double that of Yemen, which has the second-highest gun ownership rate. Unfortunately, along with high gun ownership rates comes a higher number of homicides by firearm, which was about 13,529 homicides in 2023.

In the United States in 2023, ** percent of Republicans reported that they owned at least one gun, and ** percent said that they lived in a household with a gun. In comparison, only ** percent of Democrats owned at least one gun, and ** percent lived in a gun household. Who are gun owners? In 2022, significantly more Democrats were in favor of limiting gun ownership in comparison to Republicans. On the other hand, more Republicans were in favor of protecting the right to own guns in comparison to Democrats. When examined by education level, respondents who said they only had some college, but no degree were the most likely to have said that there is at least one gun in their household. However, nearly a ******* of Americans over 18 years old said that they rarely carry a gun on their person. Republicans vs Democrats Debate The gun control debate in the United States has been a highly contested one. In light of frequent mass shootings, gun control laws have become the center of policy discussions. Democratic politicians tend to put significant emphasis on their gun control policies and are overall more in favor of stricter gun control laws and want more background checks for those who want to purchase a gun. However, Republicans tend to work in favor of gun rights.

About this dataset

Context

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

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Gun Barrel City, TX, is 23.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Gun Barrel City, TX, is 37.2.
• Total dependency ratio for Gun Barrel City, TX is 60.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Gun Barrel City, TX is 2.7.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group for the 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 for the selected age group is shown in the following column.
• Population (Female): The female population in the Gun Barrel City for the selected age group is shown in the following column.
• Total Population: The total population of the Gun Barrel City for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gun Barrel City Population by Age. You can refer the same here

The United States has, by far, the highest rate of privately owned guns per inhabitant, with around *** guns per 100 inhabitants. Deadly shootings have become a significant problem in the country. Yemen, the country with the second-highest gun ownership rate worldwide, only has half of the U.S. rate.

This dataset includes births, deaths and the ratio of births to deaths by metropolitan area for the years 2000-2006. The actual births and deaths for 2000 and estimates were taken from the U.S. Census Components of Population Change. Ratios were calculated based on that data.

According to a survey conducted in the United States in 2023, white respondents were more likely to either personally own a gun or live in a gun owning household than their non-white counterparts. During the survey, ** percent of white Americans reported that they personally owned a firearm, compared to ** percent of non-white respondents.

BackgroundGun violence has shortened the average life expectancy of Americans, and better knowledge about the root causes of gun violence is crucial to its prevention. While some empirical evidence exists regarding the impacts of social and economic factors on violence and firearm homicide rates, to the author’s knowledge, there has yet to be a comprehensive and comparative lagged, multilevel investigation of major social determinants of health in relation to firearm homicides and mass shootings.Methods and findingsThis study used negative binomial regression models and geolocated gun homicide incident data from January 1, 2015, to December 31, 2015, to explore and compare the independent associations of key state-, county-, and neighborhood-level social determinants of health—social mobility, social capital, income inequality, racial and economic segregation, and social spending—with neighborhood firearm-related homicides and mass shootings in the United States, accounting for relevant state firearm laws and a variety of state, county, and neighborhood (census tract [CT]) characteristics. Latitude and longitude coordinates on firearm-related deaths were previously collected by the Gun Violence Archive, and then linked by the British newspaper The Guardian to CTs according to 2010 Census geographies. The study population consisted of all 74,134 CTs as defined for the 2010 Census in the 48 states of the contiguous US. The final sample spanned 70,579 CTs, containing an estimated 314,247,908 individuals, or 98% of the total US population in 2015. The analyses were based on 13,060 firearm-related deaths in 2015, with 11,244 non-mass shootings taking place in 8,673 CTs and 141 mass shootings occurring in 138 CTs. For area-level social determinants, lag periods of 3 to 17 years were examined based on existing theory, empirical evidence, and data availability. County-level institutional social capital (levels of trust in institutions), social mobility, income inequality, and public welfare spending exhibited robust relationships with CT-level gun homicide rates and the total numbers of combined non-mass and mass shooting homicide incidents and non-mass shooting homicide incidents alone. A 1–standard deviation (SD) increase in institutional social capital was linked to a 19% reduction in the homicide rate (incidence rate ratio [IRR] = 0.81, 95% CI 0.73–0.91, p

About this dataset

Context

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

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Gun Plain Township, Michigan, is 29.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Gun Plain Township, Michigan, is 26.4.
• Total dependency ratio for Gun Plain Township, Michigan is 55.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Gun Plain Township, Michigan is 3.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group for the 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 for the selected age group is shown in the following column.
• Population (Female): The female population in the Gun Plain township for the selected age group is shown in the following column.
• Total Population: The total population of the Gun Plain township for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gun Plain township Population by Age. You can refer the same here

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.

Ratio of the inactive population aged 65 and over to the labour force aged 15 to 64, with projections through 2050. The percentage of the population that is 65 years or older is rising in all OECD countries and is expected to continue doing so. The number of inactive elderly as a ratio of the number in the total labour force is also increasing throughout OECD countries. These trends have a number of implications for government and private spending on pensions and health care and, more generally, for economic growth and welfare. Population is defined as the resident population, i.e. all persons, regardless of citizenship, who have a permanent place of residence in the country. The labour force is defined according to the ILO Guidelines and consists of those in employment plus persons who are available for work and who are actively seeking employment. Population projections are taken from national sources where these are available, but for some countries they are based on Eurostat and UN projections. Null data ".." was changed to be -1

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 (447) | Female # 55-59 years (375). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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

Ratio of population aged 65 and over to the total population in select countries, 1980-2005 and projections to 2050 Null data of ".." was changed to -1

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

The polyshape file consists of Disposable income by TV Markets in 2007. The data for the 206 TV markets in the U.S. also includes ranking by disposable income and the ratio of Disposable income in a TV market with the U.S. Average (basis 100).

Since 1982, an astonishing 149 mass shootings have been carried out in the United States by male shooters. In contrast, only four mass shootings (defined by the source as a single attack in a public place in which four or more victims were killed) have been carried out by women. Gun ownership in the U.S. Possession of firearms in the United States is protected by the 2nd Amendment of the Constitution and has been a defining aspect of American civil liberties since the writing of the Bill of Rights. It is estimated that the United States has the highest rate of civilian-owned firearms in the world, and Americans continually poll against handgun restrictions. Mass shootings However, with high gun ownership comes high responsibility. The United States consistently faces numerous mass shootings each year, particularly in schools. The five deadliest mass shootings have all occurred since 2007, with the deadliest being the Las Vegas Strip massacre in 2017, which claimed the lives of 58 people and injured 546 more.

The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1958 to a projected 2012. The map shows the concentration dependency ratio within each country expressed as a percent of the total renewable water resources originating outside the country. 0% indicates that the country does not receive water from neighboring countries, or in the case of data that there is a lack of data for this country so that zero was put in to allow production of the heated map. 100% indicates that the country in fact receives all of its water from other countries. Online resource: http://geodata.grid.unep.ch URL original source: http://www.fao.org/ag/agl/aglw/aquastat/dbase/index.htm

The food production per capita index presents net food production (after deduction for feed and seed) of a country's agricultural sector per person relative to the base period 1999-2001. The food production per capita index covers all edible agricultural products that contain nutrients; coffee and tea are excluded. For a given year and country, the index is calculated by taking the disposable average output of all food commodities per person in terms of weight or volume during the period of interest and dividing that year's output by the average of the 1999-2001 output per person. This ratio is then multiplied by 100 to obtain the index number. The index represents the total amount of food commodity for that period per capita relative to the 1999-2001 average amount of food commodities per capita.

This dataset is compiled from the Mexican Population and Household Census from 2005 (Conteo de Poblacion y Vivienda 2005). The data is at municipal level (of almost 2,000 municipalities) and is comprised of total population, population by age groups, population by sex, average age by sex and the male to female ratio. Where there were inconsistencies in municipality boundaries between the Mexican data and the available shapefile, the data have been combined in the appropriate fashion. The polygons that contain data from more than one municipality are labeled with all municipality names. Values of -1 represent no available data.