11 datasets found
  1. d

    Mass Killings in America, 2006 - present

    • data.world
    csv, zip
    Updated Jul 23, 2025
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    The Associated Press (2025). Mass Killings in America, 2006 - present [Dataset]. https://data.world/associatedpress/mass-killings-public
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jul 23, 2025
    Authors
    The Associated Press
    Time period covered
    Jan 1, 2006 - Jul 4, 2025
    Area covered
    Description

    THIS DATASET WAS LAST UPDATED AT 2:11 AM EASTERN ON JULY 23

    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.

  2. p

    Trends in American Indian Student Percentage (2006-2023): Sandra Day...

    • publicschoolreview.com
    Updated Feb 9, 2025
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    Public School Review (2025). Trends in American Indian Student Percentage (2006-2023): Sandra Day O'connor High School vs. Arizona vs. Deer Valley Unified District (4246) School District [Dataset]. https://www.publicschoolreview.com/sandra-day-o-connor-high-school-profile
    Explore at:
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Deer Valley Unified District
    Description

    This dataset tracks annual american indian student percentage from 2006 to 2023 for Sandra Day O'connor High School vs. Arizona and Deer Valley Unified District (4246) School District

  3. Percentage of high school students who consume recommended daily fruit and...

    • healthdata.nj.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Feb 26, 2016
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    Student Health Survey, Office of Student Support Services, New Jersey Department of Education (2016). Percentage of high school students who consume recommended daily fruit and vegetable servings (5+ a day), New Jersey, by year: Beginning 2009 (odd years only) [Dataset]. https://healthdata.nj.gov/dataset/Percentage-of-high-school-students-who-consume-rec/k7tr-ghjx
    Explore at:
    xml, tsv, application/rssxml, json, application/rdfxml, csvAvailable download formats
    Dataset updated
    Feb 26, 2016
    Dataset provided by
    New Jersey Department of Educationhttp://www.state.nj.us/education/
    Authors
    Student Health Survey, Office of Student Support Services, New Jersey Department of Education
    Area covered
    New Jersey
    Description

    Ratio: Percent of students surveyed consuming daily recommended servings of fruits and vegetables.

    Definition: The percentage of surveyed adolescents in grades 9 to 12 who reported consuming five or more daily servings of fruits and vegetables (including legumes).

    Data Source: Student Health Survey, Office of Student Support Services, New Jersey Department of Education

  4. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Feb 19, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    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.

  5. h

    gsm8k

    • huggingface.co
    Updated Aug 11, 2022
    + more versions
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    OpenAI (2022). gsm8k [Dataset]. https://huggingface.co/datasets/openai/gsm8k
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 11, 2022
    Dataset authored and provided by
    OpenAIhttps://openai.com/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Card for GSM8K

      Dataset Summary
    

    GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality linguistically diverse grade school math word problems. The dataset was created to support the task of question answering on basic mathematical problems that require multi-step reasoning.

    These problems take between 2 and 8 steps to solve. Solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to reach the… See the full description on the dataset page: https://huggingface.co/datasets/openai/gsm8k.

  6. o

    US Private Schools

    • public.opendatasoft.com
    • data.smartidf.services
    • +1more
    csv, excel, geojson +1
    Updated Jul 9, 2024
    + more versions
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    (2024). US Private Schools [Dataset]. https://public.opendatasoft.com/explore/dataset/us-private-schools/
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    geojson, json, csv, excelAvailable download formats
    Dataset updated
    Jul 9, 2024
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    This Private Schools feature dataset is composed of private elementary and secondary education facilities in the United States as defined by the Private School Survey (PSS, https://nces.ed.gov/surveys/pss/), National Center for Education Statistics (NCES, https://nces.ed.gov), US Department of Education for the 2017-2018 school year. This includes all prekindergarten through 12th grade schools as tracked by the PSS. This feature class contains all MEDS/MEDS+ as approved by NGA. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the Place Keyword section of the metadata. This release includes the addition of 2675 new records, modifications to the spatial location and/or attribution of 19836 records, the removal of 254 records no longer applicable. Additionally, 10,870 records were removed that previously had a STATUS value of 2 (Unknown; not represented in the most recent PSS data) and duplicate records identified by ORNL.

  7. College enrollment in public and private institutions in the U.S. 1965-2031

    • statista.com
    • ai-chatbox.pro
    Updated Mar 25, 2025
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    Statista (2025). College enrollment in public and private institutions in the U.S. 1965-2031 [Dataset]. https://www.statista.com/statistics/183995/us-college-enrollment-and-projections-in-public-and-private-institutions/
    Explore at:
    Dataset updated
    Mar 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    There were approximately 18.58 million college students in the U.S. in 2022, with around 13.49 million enrolled in public colleges and a further 5.09 million students enrolled in private colleges. The figures are projected to remain relatively constant over the next few years.

    What is the most expensive college in the U.S.? The overall number of higher education institutions in the U.S. totals around 4,000, and California is the state with the most. One important factor that students – and their parents – must consider before choosing a college is cost. With annual expenses totaling almost 78,000 U.S. dollars, Harvey Mudd College in California was the most expensive college for the 2021-2022 academic year. There are three major costs of college: tuition, room, and board. The difference in on-campus and off-campus accommodation costs is often negligible, but they can change greatly depending on the college town.

    The differences between public and private colleges Public colleges, also called state colleges, are mostly funded by state governments. Private colleges, on the other hand, are not funded by the government but by private donors and endowments. Typically, private institutions are  much more expensive. Public colleges tend to offer different tuition fees for students based on whether they live in-state or out-of-state, while private colleges have the same tuition cost for every student.

  8. California School District Areas 2023-24

    • data.ca.gov
    • gis.data.ca.gov
    • +1more
    Updated Aug 12, 2024
    + more versions
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    California Department of Education (2024). California School District Areas 2023-24 [Dataset]. https://data.ca.gov/dataset/california-school-district-areas-2023-24
    Explore at:
    kml, html, geojson, gpkg, xlsx, zip, arcgis geoservices rest api, txt, gdb, csvAvailable download formats
    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    California Department of Educationhttps://www.cde.ca.gov/
    Area covered
    California
    Description
    This layer serves as the authoritative geographic data source for all school district area boundaries in California. School districts are single purpose governmental units that operate schools and provide public educational services to residents within geographically defined areas. Agencies considered school districts that do not use geographically defined service areas to determine enrollment are excluded from this data set. In order to view districts represented as point locations, please see the "California School District Offices" layer. The school districts in this layer are enriched with additional district-level attribute information from the California Department of Education's data collections. These data elements add meaningful statistical and descriptive information that can be visualized and analyzed on a map and used to advance education research or inform decision making.

    School districts are categorized as either elementary (primary), high (secondary) or unified based on the general grade range of the schools operated by the district. Elementary school districts provide education to the lower grade/age levels and the high school districts provide education to the upper grade/age levels while unified school districts provide education to all grade/age levels in their service areas. Boundaries for the elementary, high and unified school district layers are combined into a single file. The resulting composite layer includes areas of overlapping boundaries since elementary and high school districts each serve a different grade range of students within the same territory. The 'DistrictType' field can be used to filter and display districts separately by type.

    Boundary lines are maintained by the California Department of Education (CDE) and are effective in the 2023-24 academic year . The CDE works collaboratively with the US Census Bureau to update and maintain boundary information as part of the federal School District Review Program (SDRP). The Census Bureau uses these school district boundaries to develop annual estimates of children in poverty to help the U.S. Department of Education determine the annual allocation of Title I funding to states and school districts. The National Center for Education Statistics (NCES) also uses the school district boundaries to develop a broad collection of district-level demographic estimates from the Census Bureau’s American Community Survey (ACS).

    The school district enrollment and demographic information are based on student enrollment counts collected on Fall Census Day (first Wednesday in October) in the 2023-24 academic year. These data elements are collected by the CDE through the California Longitudinal Achievement System (CALPADS) and can be accessed as publicly downloadable files from the Data & Statistics web page on the CDE website https://www.cde.ca.gov/ds.

  9. Monitoring the Future: Restricted-Use Panel Data, United States, 1976-2014 -...

    • search.gesis.org
    Updated May 11, 2018
    + more versions
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    GESIS search (2018). Monitoring the Future: Restricted-Use Panel Data, United States, 1976-2014 - MTF Panel Data - Version 1 [Dataset]. http://doi.org/10.3886/ICPSR37072.v1
    Explore at:
    Dataset updated
    May 11, 2018
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    GESIS search
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de638320https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de638320

    Area covered
    United States
    Description

    Abstract (en): The Monitoring the Future (MTF) project is a long-term epidemiologic and etiologic study of substance use among the nation's youth and adults. It is conducted at the University of Michigan Institute for Social Research, funded by a series of investigator-initiated research grants from the National Institute on Drug Abuse. From its inception in 1975, the project has collected data annually from nationally representative samples of 13,000-19,000 high school seniors, located in approximately 135 schools nationwide (i.e. cross-sectional data). Beginning in 1991, similar surveys of nationally representative samples of 8th and 10th graders have been conducted annually. In all, approximately 45,000 students annually respond to about 100 drug use and demographic questions, as well as to about 200 additional questions divided among multiple forms on other topics such as attitudes toward government, social institutions, race relations, changing gender roles, educational aspirations, occupational aims, and marital plans. The MTF project also includes a longitudinal panel study component. Beginning with the class of 1976, biennial follow-up mail surveys have been conducted with representative subsamples of respondents from each senior year class, spanning modal ages 19 to 30. From each senior year cohort, a sample of about 2,450 students are selected for longitudinal follow-up. The sample is randomly split into two halves (approx. 1,225 each) to be followed every other year. One half-sample begins its first follow-up the next year at modal age 19, and the other half-sample begins its first follow-up in the second year at modal age 20. The follow-ups continue such that the modal ages are as follows: FU1=19/20, FU2=21/22, FU3=23/24, FU4=25/26, FU5=27/28, FU6=29/30. Respondents receive the same survey form for follow-up as they completed at base year. More information about the MTF project can be accessed through the Monitoring the Future website - including the purpose, design, sampling procedures, and questionnaire administration; selected data tables and figures; a listing of publications and press releases; information about the research investigators; and links to related websites. Response Rates: For information regarding response rates, users should refer to the summary information in Appendix A of the MTF Restricted Panel Data User's Guide. Datasets:DS1: Dataset Young adult follow-up of the U.S. high school seniors in MTF in the year of the baseline interview. The nationally-representative base year cohort sample (i.e. each high school senior class) was selected using a multistage area probability sample design involving three selection stages: (1) geographic areas or primary sampling units (PSUs), (2) schools (or linked groups of schools) within PSUs, and (3) students within sampled schools. Participants were randomly divided into two groups for biennial follow-up. For longitudinal follow-up, each year, 2,450 respondents to the 12th grade survey were selected. The panel sample was selected within school by form and gender, and each base-year school was required to have a minimum of two follow-up selections (individuals). The base year sampling weight was factored into the targeted sample size for each school/form/gender combination. An illicit drug user/nonuser stratification was created, based on responses to nine base year questions about 30-day drug use. (An individual was considered a "user" if they reported any use of LSD, hallucinogens other than LSD, cocaine, amphetamines, sedatives/barbiturates, tranquilizers, heroin, or narcotics other than heroin, or used marijuana 20 or more times in the past 30 days.) Illicit drug users were sampled at a 3-to-1 rate relative to non-users. Please see the MTF Restricted Panel Data User's Guide for additional sampling details. 2018-05-11 Collection was updated to correct error in documentation. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (DA001411, DA016575). mail questionnaire on-site questionnaire

  10. Education Directory

    • data.ct.gov
    • catalog.data.gov
    • +2more
    application/rdfxml +5
    Updated Apr 1, 2024
    + more versions
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    Connecticut State Department of Education (CSDE) (2024). Education Directory [Dataset]. https://data.ct.gov/Education/Education-Directory/9k2y-kqxn
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    tsv, xml, application/rssxml, application/rdfxml, csv, jsonAvailable download formats
    Dataset updated
    Apr 1, 2024
    Dataset provided by
    Connecticut State Department of Educationhttps://portal.ct.gov/sde
    Authors
    Connecticut State Department of Education (CSDE)
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This dataset contains the official listing of all public educational organizations in Connecticut. Data elements include district name, school name, organization type, organization code, address, open date, interdistrict magnet status and grades offered.

    Included data are collected by the CT State Department of Education (CSDE) through the Directory Manager (DM) portal in accordance with Connecticut General Statute (C.G.S.) 10-4. This critical information is used by other data collection systems and for state and federal reporting.

    For more information regarding DM, please visit http://www.csde.state.ct.us/public/directorymanager/default.asp

  11. p

    Trends in American Indian Student Percentage (1989-2014): Brockbank Junior...

    • publicschoolreview.com
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    Public School Review, Trends in American Indian Student Percentage (1989-2014): Brockbank Junior High School vs. Utah vs. Granite School District [Dataset]. https://www.publicschoolreview.com/brockbank-junior-high-school-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Utah, Granite School District
    Description

    This dataset tracks annual american indian student percentage from 1989 to 2014 for Brockbank Junior High School vs. Utah and Granite School District

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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The Associated Press (2025). Mass Killings in America, 2006 - present [Dataset]. https://data.world/associatedpress/mass-killings-public

Mass Killings in America, 2006 - present

Data from the AP-USA TODAY-Northeastern project tracking the killings of four or more victims from 2006-present

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
zip, csvAvailable download formats
Dataset updated
Jul 23, 2025
Authors
The Associated Press
Time period covered
Jan 1, 2006 - Jul 4, 2025
Area covered
Description

THIS DATASET WAS LAST UPDATED AT 2:11 AM EASTERN ON JULY 23

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.

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