In the 2021-22 school year, about 27.7 percent of female students in the United States between the ages of 12 and 18 reported that they were bullied either online or by text. This is compared to 14.1 percent of male students who were cyberbullied in that year.

Decrease the number of high school youth (grades 9-12) who report they were bullied on school property from 18.6% in 2013 to 17.5% by 2020.

Between August 2018 and June 2019, approximately 15.7 percent of high school students in the United States experienced cyber bullying during the last 12 months. Female students were more likely than male students to be bullied online, with 20.4 percent of female survey respondents stating that they had been bullied electronically in the 12 months before the survey. Cyber bullying includes being bullied through text messages, Instagram, Facebook, or other social media.

This table contains 2784 series, with data for years 1998 - 1998 (not all combinations necessarily have data for all years), and was last released on 2007-01-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (29 items: Austria; Canada; Belgium (French speaking);Belgium (Flemish speaking) ...), Sex (2 items: Males; Females ...), Age groups (3 items: 11 years;13 years;15 years ...), Type of bullying (4 items: Hitting; slapping or pushing; Making sexual jokes; comments or gestures; Threatening; Spreading rumours or mean lies ...), Frequency (4 items: Not been bullied in this way; About once a week; More than once a week; Once or twice ...).

As of 2019, approximately 15.7 percent of high school students in the United States had experienced cyber bullying. The cyber bullying victimization rate has remained largely stable since 2011. Cyber bullying includes being bullied through text messages, Instagram, Facebook, or other social media.

Between August 2018 and June 2019, approximately 15.7 percent of high school students in the United States experienced cyber bullying during the last 12 months. Students attending the ninth grade were most likely than any other group to be bullied online, with 16 percent of 9th grade survey respondents stating that they had been bullied electronically in the 12 months before the survey. Cyber bullying includes being bullied through text messages, Instagram, Facebook, or other social media.

The Wisconsin School Violence and Bullying Prevention Study sought to understand the impact of comprehensive bullying prevention programs on outcomes related to violence, safety, and bullying rates. This study focused on 24 middle schools (grades 6 to 8) in Wisconsin. To examine the effectiveness of the school's current anti-bullying program, the Bullying Prevention Program Assessment tool (BPPAT) was completed at the end of the school year. The BPPAT focused on administrative policy and procedures geared towards students, faculty, parents, or administrators. This tool examined the following items: policy and procedures, program implementation, staff training, parental education and communication, student training, reporting systems, and continuous quality improvement (CQI). Students and faculty were given surveys to determine bullying rates and perceptions of school safety. The school safety survey was given to all students concerning their bullying victimization and perception of school safety. This survey contains the following demographic variables: age, sex, grade, and race. The verified bullying incident data contains incident reporting from faculty, which focused on the type of bullying and the demographics of the perpetrator and victim. After new bullying prevention programs were implemented, students were given the safety and bullying victimization survey which focused on perceptions of bullying and school safety. The number of bullying incidents, number of student victims and perpetrators, and the demographic characteristics of victims and perpetrators were retained in aggregate form for each school were submitted to the Department of Public Instruction (DPI) for analysis.

The purpose of this systematic review was to assess the effectiveness of school-based anti-bullying programs in reducing school bullying. The following criteria were used for the inclusion of studies in the systematic review: the study described an evaluation of a program designed specifically to reduce school (kindergarten to high school) bullying; bullying was defined as including: physical, verbal, or psychological attack or intimidation that is intended to cause fear, distress, or harm to the victim; and an imbalance of power, with the more powerful child (or children) oppressing less powerful ones; bullying (specifically) was measured using self-report questionnaires, peer ratings, teacher ratings, or observational data; the effectiveness of the program was measured by comparing students who received it (the experimental condition) with a comparison group of students who did not receive it (the control condition). There must have been some control of extraneous variables in the evaluation by (1) randomization, or (2) pre-test measures of bulling, or (3) choosing some kind of comparable control condition; published and unpublished reports of research conducted in developed countries between 1983 and 2009 were included; and it was possible to measure the effect size. Several search strategies were used to identify 89 anti-bully studies meeting the criteria for inclusion in this review: researchers searched for the names of established researchers in the area of bullying prevention; researchers conducted a keyword search of 18 electronic databases; researchers conducted a manual search of 35 journals, either online or in print, from 1983 until the end of May 2009; and researchers sought information from key researchers on bullying and from international colleagues in the Campbell Collaboration. Studies included in the review were coded for the following key features: research design, sample size, publication date, location of the study, average age of the children, and the duration and intensity of the anti-bullying program for both the children and the teachers.

Bullying reports the Total number of bullying incidents and the number of students with at least 1 bullying incident at the school district and state level. Domain

According to a survey conducted in South Korea in the spring of 2024, around 39.4 percent of elementary, middle, and high school students responded who suffered from school bullying answered they experienced verbal abuse. Physical violence and ongoing bullying followed with a 15.5 percent response share each.

One-fifth of U.S. high school students report being bullied each year. We use internet search data for real-time tracking of bullying patterns as COVID-19 disrupted in-person schooling. We first show that, pre-pandemic, internet searches contain useful information about actual bullying behavior. We then show that searches for school bullying and cyberbullying dropped 30-35 percent as schools shifted to remote learning in spring 2020. The gradual return to in-person instruction starting in fall 2020 partially returns bullying searches to pre-pandemic levels. This rare positive effect may partly explain recent mixed evidence on the pandemic's impact on students' mental health and well-being.

Around 15 percent of high school students reported that they were bullied while at school in 2021. Across the sexes, female students were more likely to report bullying than male students, with a prevalence of 17 percent.

The dataset includes the relevant data and materials for my thesis.It contains the dataset file and the README file. The dataset file includes the ethical approval (e.g., the ethical application form, consent and assent forms and the ethical apporval), and the dataset for the three studies in my thesis (e.g., questionnaires,the survey data in sav. format, the coding for the survey data, interview guide and the transcripts of the semi-structural interviews). Besides, the README file describes the basic information for the dataset.

This table contains 870 series, with data for years 1994 - 1998 (not all combinations necessarily have data for all years), and was last released on 2007-01-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (29 items: Austria; Belgium (Flemish speaking); Canada; Belgium (French speaking) ...), Sex (2 items: Males; Females ...), Age groups (3 items: 11 years; 15 years;13 years ...), Frequency (5 items: Not bullied others at school; Once or twice; About once a week; Sometimes ...).

Psychological bullying on school property in the past 12 months by sex, race/ethnicity, and grade, California Healthy Kids Survey, 2015-16METADATA:Notes (String): Lists table title, sourceYear (String): Year of surveyCategory (String): Lists the category representing the data: Santa Clara County is for total surveyed population, sex: Male and Female, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only) and grade level (7th, 9th, 11th, or non-traditional).Percent (Numeric): Percentage of middle and high school students who were psychologically bullied on school property in the past 12 months

Analysis of ‘School Bullying’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a5badc93-54ca-4ac9-8482-d0e8fdc7fbb9 on 26 January 2022.

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

Decrease the number of high school youth (grades 9-12) who report they were bullied on school property from 18.6% in 2013 to 17.5% by 2020.

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

Abstract This research aimed to know the social distribution of bullying in a sample of adolescents in the State of Sergipe. 555 subjects between 14 and 18 years old participated. The California Scale of Bullying Victimization (ECVB) and a sociodemographic questionnaire has used. Logistic regression was performed (Forward Wald method), with as dependent variable the bullying and independent variables as those related to the sociodemographic profile. Among the participants, 19.1% (n = 106) were classified as victims of bullies. The regression model classified as predictors of bullying the type of school [OddsRatio (OR) = 2.8 for private schools], municipality (OR = 1.8 for capital) and age (OR = 1.9 for 16 years 2.0 for up to 17 years, 1.3 for over 17 years). At the end, new studies have recommended regarding the prediction of variables, since type of school and municipality, for example, increased the chances of victimization to bullying.

Explore School bullying : tools for avoiding harm and liability through data from visualizations to datasets, all based on diverse sources.

Explore Bullying in schools-United States through data • Key facts: number of authors, number of books, books, authors, publication dates, book publishers • Real-time news, visualizations and datasets

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The purpose of this was to leverage an existing randomized controlled trial of The Second Step anti-bullying program, which was implemented when the sample of students was in middle school, by measuring related aggressive behaviors (e.g. bullying, cyberbullying, sexual violence) during the high school years. The objectives of this study were to determine treatment effects of the Second Step middle school program on reductions in youth aggression (including bullying), sexual violence, substance use, and teen dating violence when in high school, as well as to assess middle school belonging as a mediator of these treatment effects on targeted problem behaviors in high school. Demographic variables included as part of this collection are students' age, gender, race, and household characteristics. The collection contains 3 SPSS data files: analysis4_de-identified_2.sav (n=2143; 304 variables) RCT-WAVE-1-4-ITEMS_RECODED_de-identified_2.sav (n=4718; 741 variables) RCT---WAVE-5-7-ITEMS_RECODED_de-identified_2.sav (n=3064; 887 variables)