THIS DATASET WAS LAST UPDATED AT 8:11 PM EASTERN ON AUG. 30

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.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.

United Kingdom UK: Intentional Homicides: Female: per 100,000 Female data was reported at 0.874 Ratio in 2016. This records an increase from the previous number of 0.776 Ratio for 2015. United Kingdom UK: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.825 Ratio from Dec 2005 (Median) to 2016, with 12 observations. The data reached an all-time high of 1.115 Ratio in 2007 and a record low of 0.599 Ratio in 2011. United Kingdom UK: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (431) | Female # 55-59 years (445). 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 Kill Devil Hills population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Kill Devil Hills is shown in the following column.
• Population (Female): The female population in the Kill Devil Hills 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 Kill Devil Hills 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 Kill Devil Hills Population by Gender. You can refer the same here

Number, percentage and rate (per 100,000 population) of homicide victims, by gender (all genders; male; female; gender unknown) and Indigenous identity (total; Indigenous identity; non-Indigenous identity; unknown Indigenous identity), Canada, provinces and territories, 2014 to 2024.

Number and percentage of homicide victims, by type of firearm used to commit the homicide (total firearms; handgun; rifle or shotgun; fully automatic firearm; sawed-off rifle or shotgun; firearm-like weapons; other firearms, type unknown), Canada, 1974 to 2018.

Number of homicide victims, by method used to commit the homicide (total methods used; shooting; stabbing; beating; strangulation; fire (burns or suffocation); other methods used; methods used unknown), Canada, 1974 to 2024.

Nigeria NG: Intentional Homicides: Female: per 100,000 Female data was reported at 4.967 Ratio in 2015. Nigeria NG: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 4.967 Ratio from Dec 2015 (Median) to 2015, with 1 observations. Nigeria NG: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

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 Kill Devil Hills. 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 Kill Devil Hills, the median income for all workers aged 15 years and older, regardless of work hours, was $48,254 for males and $38,040 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 21% between the median incomes of males and females in Kill Devil Hills. With women, regardless of work hours, earning 79 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Kill Devil Hills.

- Full-time workers, aged 15 years and older: In Kill Devil Hills, among full-time, year-round workers aged 15 years and older, males earned a median income of $68,242, while females earned $55,929, leading to a 18% gender pay gap among full-time workers. This illustrates that women earn 82 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 Kill Devil Hills, 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 Kill Devil Hills median household income by race. You can refer the same here

Findings from the analyses based on the Homicide Index recorded by the Home Office, including long-term trends, sex of the victim, apparent method of killing and relationship to victim.

Kenya KE: Intentional Homicides: Male: per 100,000 Male data was reported at 7.155 Ratio in 2016. This records an increase from the previous number of 7.027 Ratio for 2015. Kenya KE: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 7.155 Ratio from Dec 2014 (Median) to 2016, with 3 observations. The data reached an all-time high of 7.793 Ratio in 2014 and a record low of 7.027 Ratio in 2015. Kenya KE: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

Stalking experienced by women and men, including numbers, type and personal characteristics, based upon annual findings from the Crime Survey for England and Wales.

Abstract: The play Frankenstein is a theatrical and modern take on the tale of Frankenstein, or, The Modern Prometheus, primarily crafted by Mary Wollstonecraft Shelley in the 19th century. The play stages the original story of Viktor Frankenstein, a young scientist who creates a humanoid monster that, for lack of empathy and instinct sublimation, murders his brother and friend. The play alternates with dialogues of a group of non-abled individuals, reflecting on gender, disability, and the relation between nature, culture, and civilization, as well as a possible orchestration of this constellation in Shelley´s original story. The othering of Frankenstein´s Creature is an allegory to the othering of non-abled people. Details: The play begins, the stage is darkened, and six disabled actors gather in a row in front of the set. Presumably, they are Viktor's family; together, they tell of a storm in which lightning struck a tree. In the next cut, the group can be seen, which consists of 11 members. They deliberate upon the message in "Frankenstein" and a possible adaptation, with the women, in particular, arguing for a feminist reading in which the play revolves around a feminist social critique. At the same time, the men assume a "boys-own" adventure. The women cite Shelley's parents, the feminist Marie Wollstonecraft and the anarchist William Godwin, as references. The piece continues. Victor and his family are introduced: his wife, Elizabeth; his father, his mother; brothers Earnest and William; housewife Justine; and his best friend, Henry. After his mother's death, Viktor moves to Ingolstadt for his studies, vowing to overcome death in memory of her. This oath, the will to defeat nature, and his studies' influence drive Viktor to create "Frankenstein's Creature" - a non-living body into which life is breathed. After the Creature escapes, he has a nervous breakdown. It cuts back to the group's discussion, which debates how life can come from nothing. It is agreed that the rest of Frankenstein's soul had lived in other people (men and women) before, but that his consciousness begins at zero. So he is strong, like a full-grown man, but cognitively inexperienced. Thereby partly findings of the psychoanalysis are used: The Creature's being is rudimentary since he lacks civilizing learning experiences such as appropriation by parents and drive suppression. It is stated that Frankenstein's Creature thereby (for that he cannot communicate and looks different) also represents an "other," i.e., is subject to marginalization processes by "normal" society. Henry visits Viktor in Ingolstadt and brings letters from his family, where he learns that his brother William was murdered (by the Creature, as is later revealed). He quickly decides to travel home to Geneva. On the way home, he meets his Creature and learns that William was killed by it. The group discusses whether William's death was Viktor's fault since he created the Creature or if it was a mistake, but one for which he should not bear responsibility. His young age and zeal come into the field, as well as his delusion to tame nature. Reunited with his family, Viktor learns that Justine, the housewife accused of William's murder, has been sentenced to death. She has no alibi, and a picture of Williams was found in her bag. Panic-stricken, Viktor tries to prove the opposite, concealing that he created the murderer. Then it comes to the confrontation between Viktor and the Creature. Viktor swears to destroy him, but the Creature asks him for a pact. Before proposing, he tells Viktor about his formation after his creation. He learned to talk and write, as well as a proto-human habitus, through observation and autodidactic. Even though he is an ultimately peaceful creature, others are repelled by his appearance. The death of William was a misunderstanding - he had strangled him by mistake. He wanted to suppress his screams. Out of fear, he conned Justine. The group compares the Creature to a tree, with feminist voices arguing for an elastic tree that can withstand storms, while the "male" side promotes a rigid tree, an oak. They also discuss the advantages and disadvantages of the pact. Finally, there is an understanding that Viktor accepts it for both sides, as it is a good solution, but also for the dangers that two Creatures are probably an even greater danger. The offer follows: The Creature demands a partner who is like it so that it is no longer excluded from the earthly happiness of the social life of humans. Together they are to live secluded from all humans and not endanger anyone. In return, the Creature promises not to curse Viktor and never to come close to other people again. Viktor agrees but soon changes his mind again: the danger of another monster causing even more deaths seems too great. The Creature is enraged when it learns of Viktor's plans. Both confront each other again in Scotland, where Viktor wants to carry out the creation. However, it curses Viktor and his marriage to Elizabeth; the wedding is imminent. As a result, Viktor wanders to Ireland, a small village that blames him for the murder of Henry, whom Viktor wants to track down. Viktor is overwhelmed by the accusation and the experience of the death of his best friend. Once again, he has a panic attack and a nervous breakdown. He suspects that the Creature is behind the murder. In the end, he is acquitted. His father brings him back to Geneva, and the wedding takes place. However, Viktor is restless - he aspires to find the Creature and end it once and for all. To do this, he follows their tracks to the Arctic, where he is found, half frozen, by a crew. The group concludes that although the play is characterized by male protagonism, it is nonetheless a feminist play because it exposes male domination and patriarchal patterns. The discussion jumps to the question of how contemporary the play is. Although it is about 200 years old, most find the messages still valid today. The core questions are whether it is reasonable to take domination of nature to the extreme like Frankenstein and overcome death; they all answer negatively because this instrumental reason leads to even greater chaos; it reifies man. Today's reference is the production of commodities and humanly-made climate change: Products of man, which he has created for himself, but now they dominate him. Nature cannot be suppressed; it must be a matter of reconciliation with it. The final scene follows: Viktor dies, and the Creature gets on the crew's boat. He discovers the corpse and finds it does not satisfy him, so there is a reconciliation between culture and nature. The Creature vows to take his own life, never to endanger another human being again. With Viktor's dead body in the middle, his family again resumes the stage, repeating the opening scene on the thunder and the tree, this time in the past tense.

Marriage, partnership and employment of women from the view of the man. Attitude to supporting women and equal opportunities for men and women. Topics: number of conversation partners and friends; frequency of conversations about selected topics of conversation; ideas about marriage and partnership (scale); attitude to employment or professional career of men or women in a partnership (scale); sex role orientation; attitude to feelings and sexuality in a partnership (scale); living together with a woman and, as appropriate, length of living together with partner; frequency of doing selected housework tasks; number of weekdays on which housework tasks are done; differences in occupation with housework an weekends or weekdays; time expended for weekly housework; perceived stress from housework; cleaning help in household; information on changes in sexual relations in the course of the partnership (scale); attitude to open expression of feelings to partner (scale); time worked each week and working days each week; length of daily absence from home due to work; shift work; job satisfaction (scale); information on working hours and job satisfaction of partner; attitude and evaluation of employment or housewive activity of partner (scale); comparison of personal occupational stress with that of partner (scale); ideas about ideal division of housework and raising of children in a family; preferred form of child care with employment of parents; most important tasks of a father in the family (scale); attitude to a personal existence as househusband (scale); attitude to marriage or partnership without marriage (scale); attitude to houses for women; estimated proportion of women beaten by men; knowledge of men who beat their wives; assumed reasons and judgement on selected situations as cause for violence against women; attitude to violence against women (scale); unemployed in circle of friends and acquaintances; most important problems from unemployment for a man and in comparison for a woman (scales); knowledge of women particularly successful in their profession; most important conditions for professional career of women; sex-specific assignment of selected occupations; proportion of women at one´s own place of work; judgement on equal opportunities for men and women at work; women as superior of respondent; assumed reasons for an imbalance of men in higher professional positions (scale); attitude to support for women and the role of women with increased unemployment of men; attitude to contraception; man or woman as responsible for contraception; knowledge of selected methods of contraception and information on one´s own experiences; method of contraception currently used by partner; reasons for lack of contraception; attitude to personal sterilization; knowledge about paragraph 218 and attitude to abortion (scale); personal experience of a situation in which decision about an abortion was necessary; judgement on the legal regulations on maternity leave; characterization of one´s own situation in life (scale); view of men (scale); satisfaction with life up to now (scale). The following additional questions were posed to men without steady partner: steady girl friend; interest in marriage; reasons for lack of interest in a steady partnership (scale). Demography for both respondent and wife or partner: age (classified); religious denomination; German citizenship; school education; vocational training; occupational position; income; household income; size of household; composition of household; number of children; ages of children (classified). Ehe, Partnerschaft und Berufstätigkeit der Frau aus der Sicht des Mannes. Einstellung zur Frauenförderung und Chancengleichheit von Mann und Frau. Themen: Anzahl der Gesprächspartner und Freunde; Häufigkeit der Gespräche über ausgewählte Gesprächsthemen; Vorstellungen über die Ehe und Partnerschaft (Skala); Einstellung zur Berufstätigkeit bzw. beruflichen Karriere von Mann oder Frau in einer Partnerschaft (Skala); Geschlechterrollenorientierung; Einstellung zu Gefühlen und Sexualität in der Partnerschaft (Skala); Zusammenleben mit einer Frau und gegebenenfalls Dauer des Zusammenlebens mit der Partnerin; Häufigkeit der Verrichtung ausgewählter Hausarbeiten; Anzahl der Wochentage, an denen Hausarbeiten verrichtet werden; Unterschiede in der Beschäftigung mit Hausarbeit an Wochenenden bzw. Werktagen; Zeitaufwand für die wöchentliche Hausarbeit; empfundene Belastung durch die Hausarbeit; Putzhilfe im Haushalt; Angaben über die Veränderungen in den sexuellen Beziehungen im Laufe der Partnerschaft (Skala); Einstellung zu offenen Gefühlsäußerungen gegenüber der Partnerin (Skala); Wochenarbeitszeit und Arbeitstage je Woche; Dauer der täglichen arbeitsbedingten Abwesenheit von zu Hause; Schichtarbeit; Arbeitszufriedenheit (Skala); Angaben über die Arbeitszeit und Arbeitszufriedenheit der Partnerin; Einstellung und Bewertung der Berufstätigkeit bzw. der Hausfrauentätigkeit der Partnerin (Skala); Vergleich der eigenen beruflichen Belastung mit der der Partnerin (Skala); Vorstellungen über die ideale Aufteilung der Hausarbeit und der Kindererziehung in einer Familie; präferierte Form der Kinderbetreuung bei Erwerbstätigkeit der Eltern; wichtigste Aufgaben eines Vaters in der Familie (Skala); Einstellung zu einer eigenen Existenz als Hausmann (Skala); Einstellung zur Ehe bzw. zu einer Partnerschaft ohne Trauschein (Skala); Einstellung zu Frauenhäusern; geschätzter Anteil der von Männern geschlagenen Frauen; Kenntnis von Männern, die ihre Frauen schlagen; vermutete Gründe und Beurteilung ausgewählter Situationen als Auslöser für Gewalt gegen Frauen; Einstellung zur Gewalt gegen Frauen (Skala); Arbeitslose im Freundes- und Bekanntenkreis; wichtigste Probleme, die durch Arbeitslosigkeit auf einen Mann und im Vergleich dazu auf eine Frau zukommen (Skalen); Kenntnis beruflich besonders erfolgreicher Frauen; wichtigste Bedingungen für die berufliche Karriere von Frauen; geschlechtsspezifische Zuordnung ausgewählter Berufe; Frauenanteil in der eigenen Arbeitsstätte; Beurteilung der Chancengleichheit von Mann und Frau im Betrieb; Frauen als Vorgesetzte des Befragten; vermutete Gründe für ein Übergewicht der Männer in höheren beruflichen Positionen (Skala); Einstellung zur Frauenförderung und Rolle der Frau bei erhöhter Arbeitslosigkeit der Männer; Einstellung zur Empfängnisverhütung; Mann oder Frau als verantwortlich für die Empfängnisverhütung; Kenntnis ausgewählter Methoden der Empfängnisverhütung und Angabe der eigenen Erfahrungen; derzeit angewandte Empfängnisverhütungsmethode der Partnerin; Gründe für fehlende Empfängnisverhütung; Einstellung zur eigenen Sterilisation; Kenntnis des § 218 und Einstellung zum Schwangerschaftsabbruch (Skala); eigene Erfahrung einer Situation, in der über einen Schwangerschaftsabbruch entschieden werden mußte; Beurteilung der gesetzlichen Regelungen zum Mutterschutz; Charakterisierung der eigenen Lebenssituation (Skala); Männerbild (Skala); Zufriedenheit mit dem bisherigen Leben (Skala). Männer ohne feste Partnerin wurden zusätzlich befragt: Feste Freundin; Heiratsinteresse; Gründe für fehlendes Interesse an einer festen Partnerschaft (Skala). Demographie für jeweils den Befragten und die Ehefrau bzw. Partnerin: Alter (klassiert); Konfession; deutsche Staatsangehörigkeit; Schulbildung; Berufsausbildung; berufliche Position; Einkommen; Haushaltseinkommen; Haushaltsgröße; Haushaltszusammensetzung; Kinderzahl; Alter der Kinder (klassiert).

Goal 5Achieve gender equality and empower all women and girlsTarget 5.1: End all forms of discrimination against all women and girls everywhereIndicator 5.1.1: Whether or not legal frameworks are in place to promote, enforce and monitor equality and non-discrimination on the basis of sexSG_LGL_GENEQLFP: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 1: overarching legal frameworks and public lifeSG_LGL_GENEQVAW: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 2: violence against womenSG_LGL_GENEQEMP: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 3: employment and economic benefitsSG_LGL_GENEQMAR: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 4: marriage and familyTarget 5.2: Eliminate all forms of violence against all women and girls in the public and private spheres, including trafficking and sexual and other types of exploitationIndicator 5.2.1: Proportion of ever-partnered women and girls aged 15 years and older subjected to physical, sexual or psychological violence by a current or former intimate partner in the previous 12 months, by form of violence and by ageVC_VAW_MARR: Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age (%)Indicator 5.2.2: Proportion of women and girls aged 15 years and older subjected to sexual violence by persons other than an intimate partner in the previous 12 months, by age and place of occurrenceTarget 5.3: Eliminate all harmful practices, such as child, early and forced marriage and female genital mutilationIndicator 5.3.1: Proportion of women aged 20–24 years who were married or in a union before age 15 and before age 18SP_DYN_MRBF18: Proportion of women aged 20-24 years who were married or in a union before age 18 (%)SP_DYN_MRBF15: Proportion of women aged 20-24 years who were married or in a union before age 15 (%)Indicator 5.3.2: Proportion of girls and women aged 15–49 years who have undergone female genital mutilation/cutting, by ageSH_STA_FGMS: Proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting, by age (%)Target 5.4: Recognize and value unpaid care and domestic work through the provision of public services, infrastructure and social protection policies and the promotion of shared responsibility within the household and the family as nationally appropriateIndicator 5.4.1: Proportion of time spent on unpaid domestic and care work, by sex, age and locationSL_DOM_TSPDCW: Proportion of time spent on unpaid care work, by sex, age and location (%)SL_DOM_TSPDDC: Proportion of time spent on unpaid domestic chores, by sex, age and location (%)SL_DOM_TSPD: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%)Target 5.5: Ensure women’s full and effective participation and equal opportunities for leadership at all levels of decision-making in political, economic and public lifeIndicator 5.5.1: Proportion of seats held by women in (a) national parliaments and (b) local governmentsSG_GEN_PARLN: Number of seats held by women in national parliaments (number)SG_GEN_PARLNT: Current number of seats in national parliaments (number)SG_GEN_PARL: Proportion of seats held by women in national parliaments (% of total number of seats)SG_GEN_LOCGELS: Proportion of elected seats held by women in deliberative bodies of local government (%)Indicator 5.5.2: Proportion of women in managerial positionsIC_GEN_MGTL: Proportion of women in managerial positions (%)IC_GEN_MGTN: Proportion of women in senior and middle management positions (%)Target 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferencesIndicator 5.6.1: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health careSH_FPL_INFM: Proportion of women who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women aged 15-49 years)SH_FPL_INFMSR: Proportion of women who make their own informed decisions regarding sexual relations (% of women aged 15-49 years)SH_FPL_INFMCU: Proportion of women who make their own informed decisions regarding contraceptive use (% of women aged 15-49 years)SH_FPL_INFMRH: Proportion of women who make their own informed decisions regarding reproductive health care (% of women aged 15-49 years)Indicator 5.6.2: Number of countries with laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and educationSH_LGR_ACSRHE: Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education (%)SH_LGR_ACSRHEC1: (S.1.C.1) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 1: Maternity Care (%)SH_LGR_ACSRHEC10: (S.4.C.10) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 10: HIV Counselling and Test ServicesSH_LGR_ACSRHEC11: (S.4.C.11) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 11: HIV Treatment and Care Services (%)SH_LGR_ACSRHEC12: (S.4.C.12) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 12: HIV Confidentiality (%)SH_LGR_ACSRHEC13: (S.4.C.13) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 13: HPV Vaccine (%)SH_LGR_ACSRHEC2: (S.1.C.2) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 2: Life Saving Commodities (%)SH_LGR_ACSRHEC3: (S.1.C.3) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 3: AbortionSH_LGR_ACSRHEC4: (S.1.C.4) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 4: Post-Abortion Care (%)SH_LGR_ACSRHEC5: (S.2.C.5) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 5: Contraceptive Services (%)SH_LGR_ACSRHEC6: (S.2.C.6) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 6: Contraceptive Consent (%)SH_LGR_ACSRHEC7: (S.2.C.7) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 7: Emergency Contraception (%)SH_LGR_ACSRHEC8: (S.3.C.8) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 8: Sexuality Education Curriculum Laws (%)SH_LGR_ACSRHEC9: (S.3.C.9) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 9: Sexuality Education Curriculum Topics (%)SH_LGR_ACSRHES1: (S.1) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 1: Maternity Care (%)SH_LGR_ACSRHES2: (S.2) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 2: Contraceptive and Family Planning (%)SH_LGR_ACSRHES3: (S.3) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 3: Sexuality Education (%)SH_LGR_ACSRHES4: (S.4) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 4: HIV and HPV (%)Target 5.a: Undertake reforms to give women equal rights to economic resources, as well as access to ownership and control over land and other forms of property, financial services, inheritance and natural resources,

BackgroundThe sex difference in athletic performance has been thoroughly investigated in single sport disciplines such as swimming, cycling, and running. In contrast, only small samples of long-distance triathlons, such as the IRONMAN® triathlon, have been investigated so far.AimThe aim of the study was to examine potential sex differences in the three split disciplines by age groups in 5-year intervals in a very large data set of IRONMAN® age group triathletes.MethodsData from 687,696 (553,608 men and 134,088 women) IRONMAN® age group triathletes (in 5-year intervals from 18–24 to 75+ years) finishing successfully between 2002 and 2022 an official IRONMAN® race worldwide were analyzed. The differences in performance between women and men were determined for each split discipline and for the overall race distance.ResultsMost finishers were in the age group 40–44 years. The fastest women were in the age group 25–29 years, and the fastest men were in the age group 30–34 years. For all split disciplines and overall race time, men were always faster than women in all groups. The performance difference between the sexes was more pronounced in cycling compared to swimming and running. From the age group 35–39 years until 60–64 years, the sex differences were nearly identical in swimming and running. For both women and men, the smallest sex difference was least significant in age group 18–24 years for all split disciplines and increased in a U-shaped manner until age group 70–74 years. For age groups 75 years and older, the sex difference decreased in swimming and cycling but increased in running. Considering the different characteristics of the race courses, the smallest performance gaps between men and women were found in river swimming, flat surface cycling and rolling running courses.ConclusionsThe sex difference in the IRONMAN® triathlon was least significant in age group 18–24 years for all split disciplines and increased in a U-shaped manner until age group 70–74 years. For 75 years and older, the sex difference decreased in swimming and cycling but increased in running.

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 Kill Devil Hills. The dataset can be utilized to gain insights into gender-based income distribution within the Kill Devil Hills population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Kill Devil Hills, among individuals aged 15 years and older with income, there were 3,056 men and 3,217 women in the workforce. Among them, 1,371 men were engaged in full-time, year-round employment, while 1,535 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 18.45% fell within the income range of under $24,999, while 19.02% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 14.88% of men in full-time roles earned incomes exceeding $100,000, while 5.99% 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)

https://i.neilsberg.com/ch/kill-devil-hills-nc-income-distribution-by-gender-and-employment-type.jpeg" alt="Kill Devil Hills, NC gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Kill Devil Hills median household income by gender. You can refer the same here

Abstract copyright UK Data Service and data collection copyright owner. The aims of the project were to examine alcohol- and suicide-related beliefs among UK Protestants and Jews, both men and women, to investigate the so-called alcohol-suicide-depression hypothesis. This hypothesis suggests that attitudes to alcohol use and suicide will be more favourable among Protestants than Jews, and among men more than women. Questionnaire measures of alcohol- and suicide-related beliefs and behaviour assessed the dependent variables in an analysis of covariance design. The independent variables were cultural-religious group (Protestant vs. Jewish background or affiliation). Covariates, assessed by questionnaire measures, were religiosity, depression, anxiety, and (a new measure of) tolerance for depression. Main Topics: The data cover: demographics - participant's age, other demographic factors, religious practice; alcohol - consumption, beliefs about alcoholism, expectations about alcohol's effects, attitudes to alcohol use; suicide - attempts, ideation, reasons for living; tolerance for depression; depression, anxiety. Standard Measures Reasons for Living inventory (RFL): Linehan, M. M. et al (1983) 'Reasons for staying alive when you are thinking of killing yourself: the Reasons for Living inventory' Journal of Consulting and Clinical Psychology, 52, pp.276-286. Religious Activity Measure, from: Loewenthal, K. M., Macleod, A. K. and Cinnirella, M. (2001) 'Are women more religious than men? Gender differences in religious activity among different religious groups in the UK' Personality and Individual Differences. Biphasic Alcohol Effects Scale (BAES): Martin, C. S. et al (1993) 'Development and validation of the Biphasic Alcohol Effects Scale' Alcoholism - Clinical and Experimental Research, 17, pp.140-146. Alcohol consumption, from: Weiss, S. and Moore, M. (1992) 'Perception of alcoholism among Jewish, Moslem and Christian teachers in Israel' Journal of Drug Education, 22, pp.253-260. Suicide ideation and attempts, from the Present State Examination: Wing, J. K., Cooper, J. E. and Sartorius, N. (1973) The measurement and classification of psychiatric symptoms, London: Cambridge University Press. Anxiety, depression: Zigmond, A. S. and Snaith, R. P. (1993) 'The Hospital Anxiety and Depression Scale' Acta Psychiatrica Scandinavia, 67, pp.361-370.