This study was undertaken to obtain information on the characteristics of gun ownership, gun-carrying practices, and weapons-related incidents in the United States -- specifically, gun use and other weapons used in self-defense against humans and animals. Data were gathered using a national random-digit-dial telephone survey. The respondents were comprised of 1,905 randomly-selected adults aged 18 and older living in the 50 United States. All interviews were completed between May 28 and July 2, 1996. The sample was designed to be a representative sample of households, not of individuals, so researchers did not interview more than one adult from each household. To start the interview, six qualifying questions were asked, dealing with (1) gun ownership, (2) gun-carrying practices, (3) gun display against the respondent, (4) gun use in self-defense against animals, (5) gun use in self-defense against people, and (6) other weapons used in self-defense. A "yes" response to a qualifying question led to a series of additional questions on the same topic as the qualifying question. Part 1, Survey Data, contains the coded data obtained during the interviews, and Part 2, Open-Ended-Verbatim Responses, consists of the answers to open-ended questions provided by the respondents. Information collected for Part 1 covers how many firearms were owned by household members, types of firearms owned (handguns, revolvers, pistols, fully automatic weapons, and assault weapons), whether the respondent personally owned a gun, reasons for owning a gun, type of gun carried, whether the gun was ever kept loaded, kept concealed, used for personal protection, or used for work, and whether the respondent had a permit to carry the gun. Additional questions focused on incidents in which a gun was displayed in a hostile manner against the respondent, including the number of times such an incident took place, the location of the event in which the gun was displayed against the respondent, whether the police were contacted, whether the individual displaying the gun was known to the respondent, whether the incident was a burglary, robbery, or other planned assault, and the number of shots fired during the incident. Variables concerning gun use by the respondent in self-defense against an animal include the number of times the respondent used a gun in this manner and whether the respondent was hunting at the time of the incident. Other variables in Part 1 deal with gun use in self-defense against people, such as the location of the event, if the other individual knew the respondent had a gun, the type of gun used, any injuries to the respondent or to the individual that required medical attention or hospitalization, whether the incident was reported to the police, whether there were any arrests, whether other weapons were used in self-defense, the type of other weapon used, location of the incident in which the other weapon was used, and whether the respondent was working as a police officer or security guard or was in the military at the time of the event. Demographic variables in Part 1 include the gender, race, age, household income, and type of community (city, suburb, or rural) in which the respondent lived. Open-ended questions asked during the interview comprise the variables in Part 2. Responses include descriptions of where the respondent was when he or she displayed a gun (in self-defense or otherwise), specific reasons why the respondent displayed a gun, how the other individual reacted when the respondent displayed the gun, how the individual knew the respondent had a gun, whether the police were contacted for specific self-defense events, and if not, why not.

The share of American households owning at least one firearm has remained relatively steady since 1972, hovering between ** percent and ** percent. In 2023, 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.

Analysis of ‘Do You Know Where America Stands On Guns?’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/poll-quiz-gunse on 28 January 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

This folder contains the data behind the quiz Do You Know Where America Stands On Guns?

guns-polls.csv contains the list of polls about guns that we used in our quiz. All polls have been taken after February 14, 2018, the date of the school shooting in Parkland, Florida.

The data is available under the Creative Commons Attribution 4.0 International License and the code is available under the MIT License. If you do find it useful, please let us know.

Source: https://github.com/fivethirtyeight/data

This dataset was created by FiveThirtyEight and contains around 100 samples along with End, Republican Support, technical information and other features such as: - Start - Support - and more.

How to use this dataset

• Analyze Question in relation to Url
• Study the influence of Population on Pollster
• More datasets

Acknowledgements

If you use this dataset in your research, please credit FiveThirtyEight

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

This dataset is about book subjects. It has 1 row and is filtered where the books is Armed America : the remarkable story of how and why guns became as American as apple pie. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset is about books. It has 2 rows and is filtered where the book is The second : race and guns in a fatally unequal America. It features 7 columns including author, publication date, language, and book publisher.

About this dataset

Context

The dataset tabulates the Gun Barrel City population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Gun Barrel City. The dataset can be utilized to understand the population distribution of Gun Barrel City by age. For example, using this dataset, we can identify the largest age group in Gun Barrel City.

Key observations

The largest age group in Gun Barrel City, TX was for the group of age 60 to 64 years years with a population of 612 (9.55%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Gun Barrel City, TX was the 85 years and over years with a population of 126 (1.97%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Gun Barrel City is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Gun Barrel City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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

THIS DATASET WAS LAST UPDATED AT 2:10 AM EASTERN ON JUNE 28

OVERVIEW

2019 had the most mass killings since at least the 1970s, according to the Associated Press/USA TODAY/Northeastern University Mass Killings Database.

In all, there were 45 mass killings, defined as when four or more people are killed excluding the perpetrator. Of those, 33 were mass shootings . This summer was especially violent, with three high-profile public mass shootings occurring in the span of just four weeks, leaving 38 killed and 66 injured.

A total of 229 people died in mass killings in 2019.

The AP's analysis found that more than 50% of the incidents were family annihilations, which is similar to prior years. Although they are far less common, the 9 public mass shootings during the year were the most deadly type of mass murder, resulting in 73 people's deaths, not including the assailants.

One-third of the offenders died at the scene of the killing or soon after, half from suicides.

About this Dataset

The Associated Press/USA TODAY/Northeastern University Mass Killings database tracks all U.S. homicides since 2006 involving four or more people killed (not including the offender) over a short period of time (24 hours) regardless of weapon, location, victim-offender relationship or motive. The database includes information on these and other characteristics concerning the incidents, offenders, and victims.

The AP/USA TODAY/Northeastern database represents the most complete tracking of mass murders by the above definition currently available. Other efforts, such as the Gun Violence Archive or Everytown for Gun Safety may include events that do not meet our criteria, but a review of these sites and others indicates that this database contains every event that matches the definition, including some not tracked by other organizations.

This data will be updated periodically and can be used as an ongoing resource to help cover these events.

Using this Dataset

To get basic counts of incidents of mass killings and mass shootings by year nationwide, use these queries:

Mass killings by year

Mass shootings by year

To get these counts just for your state:

Filter killings by state

Definition of "mass murder"

Mass murder is defined as the intentional killing of four or more victims by any means within a 24-hour period, excluding the deaths of unborn children and the offender(s). The standard of four or more dead was initially set by the FBI.

This definition does not exclude cases based on method (e.g., shootings only), type or motivation (e.g., public only), victim-offender relationship (e.g., strangers only), or number of locations (e.g., one). The time frame of 24 hours was chosen to eliminate conflation with spree killers, who kill multiple victims in quick succession in different locations or incidents, and to satisfy the traditional requirement of occurring in a “single incident.”

Offenders who commit mass murder during a spree (before or after committing additional homicides) are included in the database, and all victims within seven days of the mass murder are included in the victim count. Negligent homicides related to driving under the influence or accidental fires are excluded due to the lack of offender intent. Only incidents occurring within the 50 states and Washington D.C. are considered.

Methodology

Project researchers first identified potential incidents using the Federal Bureau of Investigation’s Supplementary Homicide Reports (SHR). Homicide incidents in the SHR were flagged as potential mass murder cases if four or more victims were reported on the same record, and the type of death was murder or non-negligent manslaughter.

Cases were subsequently verified utilizing media accounts, court documents, academic journal articles, books, and local law enforcement records obtained through Freedom of Information Act (FOIA) requests. Each data point was corroborated by multiple sources, which were compiled into a single document to assess the quality of information.

In case(s) of contradiction among sources, official law enforcement or court records were used, when available, followed by the most recent media or academic source.

Case information was subsequently compared with every other known mass murder database to ensure reliability and validity. Incidents listed in the SHR that could not be independently verified were excluded from the database.

Project researchers also conducted extensive searches for incidents not reported in the SHR during the time period, utilizing internet search engines, Lexis-Nexis, and Newspapers.com. Search terms include: [number] dead, [number] killed, [number] slain, [number] murdered, [number] homicide, mass murder, mass shooting, massacre, rampage, family killing, familicide, and arson murder. Offender, victim, and location names were also directly searched when available.

This project started at USA TODAY in 2012.

Contacts

Contact AP Data Editor Justin Myers with questions, suggestions or comments about this dataset at jmyers@ap.org. The Northeastern University researcher working with AP and USA TODAY is Professor James Alan Fox, who can be reached at j.fox@northeastern.edu or 617-416-4400.

description: This set raw of data contains information from Bloomington Police Department regarding guns reported stolen. Key code for Race: A- Asian/Pacific Island, Non-Hispanic B- African American, Non-Hispanic I- Indian/Alaskan Native, Non-Hispanic K- African American, Hispanic L- Caucasian, Hispanic N- Indian/Alaskan Native, Hispanic P- Asian/Pacific Island, Hispanic U- Unknown W- Caucasian, Non-Hispanic Key Code for Reading Districts: Example: LB519 L for Law call or incident B stands for Bloomington 5 is the district or beat where incident occurred All numbers following represents a grid sector. A map of the five districts can be located on Raidsonline.com, under the tab labeled Agency Layers . Disclaimer: The Bloomington Police Department takes great effort in making stolen gun data as accurate as possible, but there is no avoiding the introduction of errors in this process, which relies on data that cannot always be verified. Information contained in this dataset may change over a period of time. The Bloomington Police Department is not responsible for any error or omission from this data, or for the use or interpretation of the results of any research conducted.; abstract: This set raw of data contains information from Bloomington Police Department regarding guns reported stolen. Key code for Race: A- Asian/Pacific Island, Non-Hispanic B- African American, Non-Hispanic I- Indian/Alaskan Native, Non-Hispanic K- African American, Hispanic L- Caucasian, Hispanic N- Indian/Alaskan Native, Hispanic P- Asian/Pacific Island, Hispanic U- Unknown W- Caucasian, Non-Hispanic Key Code for Reading Districts: Example: LB519 L for Law call or incident B stands for Bloomington 5 is the district or beat where incident occurred All numbers following represents a grid sector. A map of the five districts can be located on Raidsonline.com, under the tab labeled Agency Layers . Disclaimer: The Bloomington Police Department takes great effort in making stolen gun data as accurate as possible, but there is no avoiding the introduction of errors in this process, which relies on data that cannot always be verified. Information contained in this dataset may change over a period of time. The Bloomington Police Department is not responsible for any error or omission from this data, or for the use or interpretation of the results of any research conducted.

About this dataset

Context

The dataset tabulates the population of Gun Barrel City by race. It includes the population of Gun Barrel City across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Gun Barrel City across relevant racial categories.

Key observations

The percent distribution of Gun Barrel City population by race (across all racial categories recognized by the U.S. Census Bureau): 96.19% are white, 1.26% are Black or African American, 0.25% are American Indian and Alaska Native, 0.25% are Asian, 0.37% are some other race and 1.67% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Gun Barrel City
• Population: The population of the racial category (excluding ethnicity) in the Gun Barrel City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Gun Barrel City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Race & Ethnicity. You can refer the same here

The global automatic weapons market, valued at $9.47 billion in 2025, is projected to experience robust growth, driven by escalating geopolitical instability, increasing defense budgets across major global powers, and the continuous modernization of armed forces worldwide. The market's Compound Annual Growth Rate (CAGR) of 7.50% from 2025 to 2033 signifies a significant expansion, fueled by demand for advanced automatic rifles, machine guns, and automatic launchers. Technological advancements, such as the integration of smart technologies and improved accuracy, are key trends shaping the industry, while factors like stringent export regulations and ethical concerns regarding the proliferation of lethal weaponry act as restraints. The market is segmented by weapon type (automatic rifles, machine guns, automatic launchers, automatic cannons, and Gatling guns) and platform (land, airborne, and naval), reflecting diverse operational needs across various military branches and applications. North America and Europe currently hold significant market shares due to high defense spending and established manufacturing bases, but the Asia-Pacific region is anticipated to demonstrate strong growth in the coming years, driven by increasing military expenditure and modernization efforts within several nations. Key players like Heckler & Koch, General Dynamics, and Rheinmetall are at the forefront of innovation, constantly striving to meet evolving military requirements and emerging market demands. The competitive landscape is characterized by intense rivalry among established players and emerging manufacturers. Companies are focusing on research and development to enhance the capabilities of automatic weapons, incorporating features such as improved ergonomics, reduced recoil, and increased accuracy. The integration of advanced materials and technologies is further driving innovation within the sector. Growth strategies, including mergers and acquisitions, strategic partnerships, and technological advancements, are being adopted by market leaders to expand their market share and maintain a competitive edge. The demand for lighter, more portable, and technologically advanced weapons is also driving innovation. Regional variations in market dynamics will continue to exist, based on specific geopolitical factors and governmental defense priorities. The projected growth trajectory indicates a significant market opportunity for manufacturers in the coming decade, albeit one subject to the complex interplay of global political and economic factors. This report provides a detailed analysis of the global automatic weapons industry, covering the period 2019-2033, with a focus on market size, growth drivers, challenges, and key players. It leverages a robust dataset, incorporating historical data (2019-2024), a base year of 2025, and forecasts extending to 2033. The report is crucial for stakeholders seeking to understand the dynamics of this complex and regulated sector. High-search-volume keywords like "automatic weapons market," "machine gun market," "military weapons market," "automatic rifle market," and "defense industry analysis" are strategically integrated to maximize online visibility. Recent developments include: March 2023: the Estonian Defense Investment Centre awarded an order to Israel's IWI for the supply of 1,000 NG7 "Negev" light machine weapon systems to the Estonian Army. The "Negevv" machine guns, which are expected to be delivered towards the end of 2023, will take over from MG3 and KSP-58 machines that are already in use. NEGEV 7.62 LMG is a NATO 7.62x51mm Light machine gun, which is used by many countries worldwide., February 2022: The US Army awarded FN America with a USD 49 million contract to supply M240L medium machine guns and titanium receivers. The M240L, which is roughly 18% lighter than the M240B, was adopted in 2010 after a joint effort by FN and the US Army. It is to reduce overall weight while maintaining the performance and durability of the machine gun.. Notable trends are: Land Segment to Witness Highest Growth During the Forecast Period.

This dataset tracks annual american indian student percentage from 2019 to 2023 for P.s. 41 Gun Hill Road vs. New York and New York City Geographic District #11 School District

This dataset is about book subjects. It has 8 rows and is filtered where the books is Rocks and rifles : the influence of geology on combat and tactics during the American Civil War. It features 2 columns: , and publication dates.

description: This set of raw data contains information from Bloomington Police Department cases, specifically it identified cases where officers have fired a gun at a suspect. **Please note that this particular dataset contains no data. As of current date, the Bloomington Police Department has had no officer involved shootings to report. ** # Key code for Race: - A- Asian/Pacific Island, Non-Hispanic - B- African American, Non-Hispanic - I- Indian/Alaskan Native, Non-Hispanic - K- African American, Hispanic - L- Caucasian, Hispanic - N- Indian/Alaskan Native, Hispanic - P- Asian/Pacific Island, Hispanic - U- Unknown - W- Caucasian, Non-Hispanic # Key Code for Reading Districts: Example: LB519 - L for Law call or incident - B stands for Bloomington - 5 is the district or beat where incident occurred - All numbers following represents a grid sector. A map of the five districts can be located on Raidsonline.com, under the tab labeled Agency Layers. Disclaimer: The Bloomington Police Department takes great effort in making all sets of data as accurate as possible, but there is no avoiding the introduction of errors in this process. Information contained in this dataset may change over a period of time. The Bloomington Police Department is not responsible for any error or omission from this data or for the use, or interpretation of the results of any research conducted.; abstract: This set of raw data contains information from Bloomington Police Department cases, specifically it identified cases where officers have fired a gun at a suspect. **Please note that this particular dataset contains no data. As of current date, the Bloomington Police Department has had no officer involved shootings to report. ** # Key code for Race: - A- Asian/Pacific Island, Non-Hispanic - B- African American, Non-Hispanic - I- Indian/Alaskan Native, Non-Hispanic - K- African American, Hispanic - L- Caucasian, Hispanic - N- Indian/Alaskan Native, Hispanic - P- Asian/Pacific Island, Hispanic - U- Unknown - W- Caucasian, Non-Hispanic # Key Code for Reading Districts: Example: LB519 - L for Law call or incident - B stands for Bloomington - 5 is the district or beat where incident occurred - All numbers following represents a grid sector. A map of the five districts can be located on Raidsonline.com, under the tab labeled Agency Layers. Disclaimer: The Bloomington Police Department takes great effort in making all sets of data as accurate as possible, but there is no avoiding the introduction of errors in this process. Information contained in this dataset may change over a period of time. The Bloomington Police Department is not responsible for any error or omission from this data or for the use, or interpretation of the results of any research conducted.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Gun Barrel City. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Gun Barrel City. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2022

In terms of income distribution across age cohorts, in Gun Barrel City, the median household income stands at $81,849 for householders within the 45 to 64 years age group, followed by $66,847 for the 25 to 44 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $64,527.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific 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 median household income by age. You can refer the same here

About this dataset

Context

The dataset tabulates the Gun Plain township population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Gun Plain township. The dataset can be utilized to understand the population distribution of Gun Plain township by age. For example, using this dataset, we can identify the largest age group in Gun Plain township.

Key observations

The largest age group in Gun Plain Township, Michigan was for the group of age 50-54 years with a population of 519 (8.48%), according to the 2021 American Community Survey. At the same time, the smallest age group in Gun Plain Township, Michigan was the 85+ years with a population of 45 (0.74%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Gun Plain township is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Gun Plain township total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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

About this dataset

Context

The dataset tabulates the population of Gun Barrel City by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Gun Barrel City across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of male population, with 53.36% of total population being male. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Gun Barrel City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Gun Barrel City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Gun Plain township. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Gun Plain township. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2022

In terms of income distribution across age cohorts, in Gun Plain township, the median household income stands at $123,379 for householders within the 25 to 44 years age group, followed by $98,079 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $42,301.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific 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 median household income by age. You can refer the same here

This survey was sponsored by USA Today and CNN, and conducted by The Gallup Organization. A national sample of 1,244 adults plus an oversample of 235 blacks were interviewed October 13-18, 1993. Major topics covered: Bill Clinton job performance; prison sentences; violent crimes; guns.

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31088209. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.

About this dataset

Context

The dataset tabulates the population of Gun Plain township by race. It includes the population of Gun Plain township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Gun Plain township across relevant racial categories.

Key observations

The percent distribution of Gun Plain township population by race (across all racial categories recognized by the U.S. Census Bureau): 94.19% are white, 1.27% are Black or African American, 0.81% are American Indian and Alaska Native, 0.34% are Asian, 0.32% are some other race and 3.07% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Gun Plain township
• Population: The population of the racial category (excluding ethnicity) in the Gun Plain township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Gun Plain township total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Race & Ethnicity. 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