87 datasets found
  1. World's most dangerous cities, by crime rate 2025

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). World's most dangerous cities, by crime rate 2025 [Dataset]. https://www.statista.com/statistics/243797/ranking-of-the-most-dangerous-cities-in-the-world-by-murder-rate-per-capita/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    In 2025, Pietermaritzburg in South Africa ranked as the world's most dangerous city with a crime rate of 82 per 100,000 inhabitants. Five of the 10 cities with the highest crime rates worldwide are found in South Africa. The list does not include countries where war and conflict exist. South Africa dominates crime statistics When looking at crime rates, among the 10 most dangerous cities in the world, half of them are found in South Africa. The country is struggling with extremely high levels of inequality, and is struggling with high levels of crime and power outages, harming the country's economy and driving more people into unemployment and poverty. Crime in Latin America On the other hand, when looking at murder rates, Latin America dominates the list of the world's most dangerous countries. Violence in Latin America is caused in great part by drug trafficking, weapons trafficking, and gang wars.

  2. Most dangerous destinations in the world 2015

    • statista.com
    Updated Dec 7, 2015
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    Statista (2015). Most dangerous destinations in the world 2015 [Dataset]. https://www.statista.com/statistics/495138/dangerous-travel-destinations/
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    Dataset updated
    Dec 7, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2015
    Area covered
    World
    Description

    This statistic shows the most dangerous destinations worldwide in 2015. During the survey, 15 percent of respondents said they thought Africa was the most dangerous travel destination in the world.

  3. World's most dangerous countries 2024, by homicide rate

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). World's most dangerous countries 2024, by homicide rate [Dataset]. https://www.statista.com/statistics/262963/ranking-the-20-countries-with-the-most-murders-per-100-000-inhabitants/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    Turks and Caicos Islands saw a murder rate of ***** per 100,000 inhabitants, making it the most dangerous country for this kind of crime worldwide as of 2024. Interestingly, El Salvador, which long had the highest global homicide rates, has dropped out of the top 29 after a high number of gang members have been incarcerated. Meanwhile, Colima in Mexico was the most dangerous city for murders. Violent conflicts worldwide Notably, these figures do not include deaths that resulted from war or a violent conflict. While there is a persistent number of conflicts worldwide, resulting casualties are not considered murders. Partially due to this reason, homicide rates in Latin America are higher than those in Afghanistan or Syria. A different definition of murder in these circumstances could change the rate significantly in some countries. Causes of death Also, noteworthy is that murders are usually not random events. In the United States, the circumstances of murders are most commonly arguments, followed by narcotics incidents and robberies. Additionally, murders are not a leading cause of death. Heart diseases, strokes and cancer pose a greater threat to life than violent crime.

  4. w

    Dataset of books called The most dangerous man in the world : the inside...

    • workwithdata.com
    Updated Apr 17, 2025
    + more versions
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    Work With Data (2025). Dataset of books called The most dangerous man in the world : the inside story on Julian Assange and the Wikileaks secrets [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=The+most+dangerous+man+in+the+world+%3A+the+inside+story+on+Julian+Assange+and+the+Wikileaks+secrets
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about books. It has 1 row and is filtered where the book is The most dangerous man in the world : the inside story on Julian Assange and the Wikileaks secrets. It features 7 columns including author, publication date, language, and book publisher.

  5. w

    Dataset of book subjects that contain That near-death thing : inside the...

    • workwithdata.com
    Updated Nov 7, 2024
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    Work With Data (2024). Dataset of book subjects that contain That near-death thing : inside the most dangerous race in the world [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=book&fop0=%3D&fval0=That+near-death+thing+%3A+inside+the+most+dangerous+race+in+the+world
    Explore at:
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about book subjects. It has 1 row and is filtered where the books is That near-death thing : inside the most dangerous race in the world. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  6. Deadliest regions for journalists worldwide 2023

    • statista.com
    Updated Feb 6, 2024
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    Statista (2024). Deadliest regions for journalists worldwide 2023 [Dataset]. https://www.statista.com/statistics/267871/number-of-journalists-killed-by-region/
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    Dataset updated
    Feb 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    Data from an annual industry report revealed that the most dangerous region for journalists in 2023 was Maghreb and the Middle East, with 18 killed there that year in connection with their work or whilst performing their duties.

    Where are journalists most at risk?

    A number of countries have a reputation for being dangerous for journalists to work in. Four killings in Mexico contributed to the number of journalists who lost their lives in the Americas in 2023, and the country regularly ranks among the riskiest for journalists. Meanwhile, the run-up to the elections in Bangladesh led to an increase in violence in 2023, whereas in Afghanistan, three young journalists died in an Islamic State bomb attack. The motives for the majority of journalists killed were confirmed, meaning that there was a fair degree of certainty that the journalist's death was linked to their work.

    Why are journalists detained?

    Most imprisoned journalists were held on anti-state charges, according to the most recently available data. Close to 60 percent of the world’s detained journalists were in custody for this reason as of late 2023, whereas only nine percent were imprisoned on suspicion of reporting false news. When it comes to imprisoned journalists by beat, a third were jailed for reporting on politics, whilst almost a quarter were in detention for having worked on human rights topics. However, whilst some beats are arguably riskier than others, even journalists working on seemingly innocuous topics were at risk of imprisonment. In 2023, three percent of journalists jailed worldwide were working on sports, and six percent were reporting on business.

  7. H

    Replication Data for Terrorism before and after 9/11—A More Dangerous World?...

    • dataverse.harvard.edu
    Updated Sep 28, 2017
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    Sean Zeigler (2017). Replication Data for Terrorism before and after 9/11—A More Dangerous World? [Dataset]. http://doi.org/10.7910/DVN/ZVQUB2
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 28, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Sean Zeigler
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    World
    Description

    These files contain the data file and dofile for "Terrorism before and after 9/11—A More Dangerous World?" from "Research & Politics."

  8. H

    Replication Data for: Killing the Messenger: Political System Openness as a...

    • dataverse.harvard.edu
    Updated Feb 13, 2016
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    Matthew Krain; Amanda Murdie; Brandon Kennedy (2016). Replication Data for: Killing the Messenger: Political System Openness as a Determinant of Journalist Killing, 1992-2008 [Dataset]. http://doi.org/10.7910/DVN/GPJ6MA
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 13, 2016
    Dataset provided by
    Harvard Dataverse
    Authors
    Matthew Krain; Amanda Murdie; Brandon Kennedy
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    What countries are most dangerous for journalists? Both conventional wisdom and extant literature on repression, democra cy, and reporter fatalities suggest that more open political systems should make journalists safer. However, we argue that a more open political context actually makes it more dangerous for journalists because they are freer to pursue stories that put them at risk and are thus more likely to b e killed by actors trying to avoid the spotlight and exposure. Conversely, cl osed autocratic regimes provide fewer opportunities to pursue dangerous lea ds, thereby reducing the chance of being killed. Using novel cross-natio nal data on the number of journalist killings between 1992 and 2008, we fi nd that these arguments are generally supported when controlling for other factors that affect the killing of journalists, such as poor governance and political conflict.

  9. H

    Data from: Silencing the Press in Criminal Wars: Why the War on Drugs Turned...

    • dataverse.harvard.edu
    Updated Nov 13, 2024
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    Guillermo Trejo; Natan Skigin (2024). Silencing the Press in Criminal Wars: Why the War on Drugs Turned Mexico into the World’s Most Dangerous Country for Journalists [Dataset]. http://doi.org/10.7910/DVN/MQJZ8M
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 13, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Guillermo Trejo; Natan Skigin
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Mexico, World
    Description

    This article examines the effects of the militarization of public security and the conflicts it triggers on a central democratic institution – press freedom. We focus on Mexico, which experienced multiple waves of assassination of local journalists after the federal government declared a War on Drugs against the country’s main cartels and deployed the military to the country’s most conflictive regions. We argue that violence against journalists is tied to the outbreak of criminal wars – the multiple localized turf wars and power struggles unleashed by the federal military intervention. Subnational politicians and their security forces are at the center of these conflicts because they partner with drug lords to enable local operations of the transnational drug trafficking industry. To defend their interests, they have individual and shared incentives to prevent city- and town-level journalists from (or punish them for) publishing fine-grained information that may compromise their criminal and political survival and their quest for local control. We compiled the most comprehensive dataset available on lethal attacks on journalists from 1994 to 2019 to test our claims. Using a difference-in-differences design, we show that violence against local journalists substantially increased in militarized regions, where the military decapitated the cartels and fragmented the criminal underworld, triggering violent competition for criminal governance – de facto rule over territories, people, and illicit economies. Evidence from original focus groups and interviews with at-risk reporters suggests that governors, mayors, and their police forces possibly joined cartels in murdering journalists to mitigate the risks of unwanted information and to minimize the costs of criminal governance by silencing the press and society. Our study offers a sobering lesson of how the militarization of anti-crime policy and the onset of criminal wars can undermine local journalism, press freedom, and democracy.

  10. s

    Too Much and Never Enough: How My Family Created the World's Most Dangerous...

    • books.supportingcast.fm
    Updated Jun 16, 2020
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    Supporting Cast (2020). Too Much and Never Enough: How My Family Created the World's Most Dangerous Man [Dataset]. https://books.supportingcast.fm/products/too-much-and-never-enough
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    Dataset updated
    Jun 16, 2020
    Dataset authored and provided by
    Supporting Cast
    License

    https://slate.com/termshttps://slate.com/terms

    Description

    List price: $19.98

    In this revelatory, authoritative portrait of Donald J. Trump and the toxic family that made him, Mary L. Trump, a trained clinical psychologist and Donald's only niece, shines a bright light on the dark history of their family in order to explain how her uncle became the man who now threatens the world's health, economic security, and social fabric.

    Mary Trump spent much of her childhood in her grandparents' large, imposing house in the heart of Queens, New York, where Donald and his four siblings grew up. She describes a nightmare of traumas, destructive relationships, and a tragic combination of neglect and abuse. She explains how specific events and general family patterns created the damaged man who currently occupies the Oval Office, including the strange and harmful relationship between Fred Trump and his two oldest sons, Fred Jr. and Donald.

    A firsthand witness to countless holiday meals and interactions, Mary brings an incisive wit and unexpected humor to sometimes grim, often confounding family events. She recounts in unsparing detail everything from her uncle Donald’s place in the family spotlight and Ivana’s penchant for regifting to her grandmother’s frequent injuries and illnesses and the appalling way Donald, Fred Trump’s favorite son, dismissed and derided him when he began to succumb to Alzheimer’s.

    Numerous pundits, armchair psychologists, and journalists have sought to parse Donald J. Trump’s lethal flaws. Mary L. Trump has the education, insight, and intimate familiarity needed to reveal what makes Donald, and the rest of her clan, tick. She alone can recount this fascinating, unnerving saga, not just because of her insider’s perspective but also because she is the only Trump willing to tell the truth about one of the world’s most powerful and dysfunctional families.

    ISBN: 9781797113869 Published: July 14, 2020 By: Mary L. Trump Read by: Mary L. Trump

    ©2020 Mary Trump (P)2020 Simon & Schuster Audio

  11. The Dangerous Seven

    • kaggle.com
    Updated Feb 28, 2025
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    DATA LOOM (2025). The Dangerous Seven [Dataset]. http://doi.org/10.34740/kaggle/dsv/10882389
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    DATA LOOM
    License

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

    Description

    Overview This dataset lists attributes or traits of the animals known as the dangerous seven (Lion, leopard, elephant, rhino, buffalo, hippo and crocodile). The data was collected with the intent of comparing each of the animals in a head to head battle. For all data collected on each animal, a scale of 1 to 10 (with 10 being the highest) was applied to normalize it. Normalizing metrics on a 1-10 scale allows for a consistent calculation of an overall rating. Absolute data on Weight and Speed was normalised or scaled 1-10. Using the source information on each animal, a score of 1 to 10 was applied to three additional metrics: Agility, Aggression and 'Weapon Factor'. Detailed information on these metrics is available in the Ratings section below.
    To allow for a consistent head-to-head comparison, all data collected is for male animals. For all seven animals, the data showed that males had larger sizes and higher head-to-head combat traits.
    Data has been collected and evaluated for both land and water, allowing for a comparison in both scenarios.

    Reference List The data was compiled from multiple publicly available peer-reviewed documents, reports and guides by wildlife biologists and ecologists as follows:

    1. Bailey, T. N. (1993). The African Leopard: Ecology and Behavior of a Solitary Felid. Columbia University Press.
    2. Bertram, B. C. R. (1979). Serengeti predators and their social systems. In Serengeti: Dynamics of an Ecosystem (pp. 221–285). University of Chicago Press.
    3. Dinerstein, E. (2011). The Return of the Unicorns: The Natural History and Conservation of the Greater One-Horned Rhinoceros. Columbia University Press.
    4. Eltringham, S. K. (1999). The Hippos: Natural History and Conservation. Academic Press.
    5. Estes, R. D. (1991). The Behavior Guide to African Mammals: Including Hoofed Mammals, Carnivores, Primates. University of California Press.
    6. Hayward, M. W., & Kerley, G. I. H. (2005). Prey preferences of the lion (Panthera leo). Journal of Zoology, 267(3), 309–322.
    7. Huchzermeyer, F. W. (2003). Crocodiles: Biology, Husbandry, and Diseases. CABI.
    8. Kingdon, J. (2015). The Kingdon Field Guide to African Mammals (2nd ed.). Bloomsbury.
    9. Shoshani, J. (1998). Understanding proboscidean evolution: a formidable task. Trends in Ecology & Evolution, 13(12), 480–487.
    10. Sinclair, A. R. E., & Arcese, P. (1995). Serengeti II: Dynamics, Management, and Conservation of an Ecosystem. University of Chicago Press.
    11. Sunquist, M., & Sunquist, F. (2002). Wild Cats of the World. University of Chicago Press.
    12. Whitman, K. L. (2006). Modelling, prediction and assessment of the social structure, population dynamics and conservation genetics of African lions. (Ph.D. dissertation, University of Minnesota).
    13. Additional insights on speed and behavior are supported by articles such as Field & Stream’s “10 Most Powerful Animal Bites on the Planet” and reports from National Geographic.

    Ratings, Weightings and Formula A) Assigning Weapon Factors (WF) 1–10 Scale WF represents an animal’s offensive capability based on its primary attack tools (bite, tusks, claws, etc.), evaluated through morphology and combat behavior.

    Lions: Strong bite and retractable claws give them WF 8 (land), 4 (water). Rhino: Large horns lead to WF 6 (land), 2 (water). Hippo: Enormous canines result in WF 6 (land & water). Crocodile: Powerful jaws and death roll make them WF 8 (water), 6 (land). Buffalo: Curved horns grant WF 6 (land), 2 (water). Elephant: Tusks and trunk provide WF 6 (land), 2 (water). Leopard: Canines and claws allow WF 6 (land), 4 (water)

    B) Assigning Agility Ratings (1–10 Scale)

    Agility reflects an animal’s ability to maneuver quickly and effectively in its primary environment. These ratings are based on observed speed, maneuverability, and body structure.

    Lions: On land, lions are highly agile with rapid acceleration and sharp turns, rated 8 on land; but dropping to 4 in water. Rhinos: Rhinos exhibit moderate agility on land (5 on land) and low agility in water (2 in water). Hippos: Hippos are bulky and relatively slow on land (3 on land); in water, they can make short, moderate movements (3 in water). Crocodiles: Crocodiles are moderately agile on land (5 on land) but highly agile in water (8 in water) thanks to their streamlined, aquatic design. Buffalo: Buffalo are moderately agile on land (6 on land) but less so in water (3 in water) due to their robust build. Elephants: Elephants are very low in agility on land (2 on land) and similarly low in water (2 in water), given their massive size. Leopards: Leopards excel on land with exceptional agility (9 on land) but are less agile in water (4 in water). This scale ensures consistent comparison of combat effectiveness.

    C) Assigning Aggressiveness Ratings (1–10 Scale)

    Aggressiveness reflects an animal’s willingness t...

  12. Most dangerous consumer products in the U.S. 2019

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Most dangerous consumer products in the U.S. 2019 [Dataset]. https://www.statista.com/statistics/619502/top-20-consumer-products-involved-in-injuries-us/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2019 - Dec 31, 2019
    Area covered
    United States
    Description

    This statistic shows the top twenty consumer products involved with an injury that resulted in a visit to emergency rooms in the United States in 2019. In 2019, clothing was associated with some ******* injuries in the United States.

  13. N

    Most dangerous borough in New York

    • data.cityofnewyork.us
    application/rdfxml +5
    Updated Jul 15, 2025
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    Police Department (NYPD) (2025). Most dangerous borough in New York [Dataset]. https://data.cityofnewyork.us/Public-Safety/Most-dangerous-borough-in-New-York/md7s-yxen
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    application/rdfxml, csv, xml, application/rssxml, tsv, jsonAvailable download formats
    Dataset updated
    Jul 15, 2025
    Authors
    Police Department (NYPD)
    Area covered
    New York
    Description

    This is a breakdown of every arrest effected in NYC by the NYPD during the current year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning. Each record represents an arrest effected in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.

  14. d

    Travel Danger

    • data.world
    csv, zip
    Updated Apr 19, 2025
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    State Department Travel Warnings (2025). Travel Danger [Dataset]. https://data.world/travelwarnings/travel-danger
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    zip, csvAvailable download formats
    Dataset updated
    Apr 19, 2025
    Authors
    State Department Travel Warnings
    License

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

    Time period covered
    2008 - 2016
    Description

    This dataset contains data and analysis from the article Do State Department Travel Warnings Reflect Real Danger?

    Key findings

    • On the whole, there is a significant relationship between the number of American deaths abroad per capita and the number of travel warnings a country receives
    • Mexico, Mali, and Israel have been targeted by the most travel warnings in recent years, but Americans are more likely to be killed in Thailand, Pakistan, and the Philippines
    • Several countries with relatively high rates of American death have not been issued a single travel warning in ~7 years, including Belize, Guyana, and Guatemala
    • Several countries with relatively low rates of American death have been issued a relatively high number of travel warnings in ~7 years, including Israel, Turkey, and Saudi Arabia
    • Overall, countries subject to travel warnings do not see notable declines in American visitors in the 6 months after a warning is issued

    Data sources

    Charts / data visualizations

    https://cdn-images-1.medium.com/max/800/1*moPQYbzXW0Jx6AFhY8VKWQ.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*s1OX6ke8wlHhK4VubpVWcg.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*JwvpqE4YIuYfx2UEqCp9nA.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*LHLsJ0IzLsSlNl0UN8XrAw.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*l0sqn7voWyMCbwoQ2OKGfg.png" alt="alt text">

  15. Deadliest terrorist attacks worldwide 1970-2024, by number of fatalities

    • statista.com
    Updated Feb 19, 2025
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    Statista (2025). Deadliest terrorist attacks worldwide 1970-2024, by number of fatalities [Dataset]. https://www.statista.com/statistics/1330395/deadliest-terrorist-attacks-worldwide-fatalities/
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    Dataset updated
    Feb 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Since 1970, the 9/11 attack on the World Trade Center in New York and the Pentagon in Washington D.C. is the deadliest terrorist attack worldwide, claiming almost 3,000 lives. Moreover, except for the Musha Church massacre during the 1994 genocide in Rwanda, all of the 10 most lethal terrorist attacks between 1970 and January 2024 happened after 2001. ISIL stood behind four of these.

    Afghanistan was the country most ridden by terrorism

    In 2022, Afghanistan topped the Global Terrorism Index, which ranks terrorist activity across the world. While the rise and fall of the Islamic State and its caliphate in Syria and Iraq received much attention during the 2010s, there has been increased terrorist activity in other parts of the world in recent years, particularly in some African countries such as Burkina Faso, Somalia, and Mali.

    Taliban was the most active terrorist organization

    In 2021, Taliban, which mainly operates in Afghanistan, was the most active terrorist organization that year, being responsible for nearly 800 attacks. The attacks resulted in nearly 4,500 fatalities. Taliban regained control of Afghanistan in 2021 after the NATO-mission in the country ended that year.

  16. w

    Dataset of books called The most dangerous spy

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called The most dangerous spy [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=The+most+dangerous+spy
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about books. It has 1 row and is filtered where the book is The most dangerous spy. It features 7 columns including author, publication date, language, and book publisher.

  17. Detroit's most dangerous intersections

    • detroitdata.org
    kml
    Updated Feb 16, 2024
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    FOX 2 Detroit (2024). Detroit's most dangerous intersections [Dataset]. https://detroitdata.org/dataset/michigan-s-most-dangerous-intersections-2022
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    kml(6151)Available download formats
    Dataset updated
    Feb 16, 2024
    Dataset provided by
    WJBKhttps://www.fox2detroit.com/
    License

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

    Area covered
    Detroit
    Description

    The majority of Michigan's most dangerous intersections are in Metro Detroit, according to 2022 crash data.

    Michigan Auto Law looks at state police records to compile lists of the worst intersections. These intersections had the most crashes. The law firm also reports injury numbers.

  18. Lists of Earthquakes Deadliest & Largest

    • kaggle.com
    Updated Mar 29, 2023
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    Raj Kumar Pandey (2023). Lists of Earthquakes Deadliest & Largest [Dataset]. https://www.kaggle.com/rajkumarpandey02/lists-of-earthquakes-deadliest-and-largest/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 29, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Raj Kumar Pandey
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    CONTENT

    Earthquakes are caused by movements within the Earth's crust and uppermost mantle. They range from events too weak to be detectable except by sensitive instrumentation, to sudden and violent events lasting many minutes which have caused some of the greatest disasters in human history. Below, earthquakes are listed by period, region or country, year, magnitude, cost, fatalities and number of scientific studies.

    CONTEXT

    The Modified Mercalli intensity scale (MM, MMI, or MCS), developed from Giuseppe Mercalli's Mercalli intensity scale of 1902, is a seismic intensity scale used for measuring the intensity of shaking produced by an earthquake. It measures the effects of an earthquake at a given location, distinguished from the earthquake's inherent force or strength as measured by seismic magnitude scales (such as the "Mw" magnitude usually reported for an earthquake). While shaking is caused by the seismic energy released by an earthquake, earthquakes differ in how much of their energy is radiated as seismic waves. Deeper earthquakes also have less interaction with the surface, and their energy is spread out across a larger volume. Shaking intensity is localized, generally diminishing with distance from the earthquake's epicenter, but can be amplified in sedimentary basins and certain kinds of unconsolidated soils.

  19. Deadliest animals globally by annual number of human deaths 2022

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Deadliest animals globally by annual number of human deaths 2022 [Dataset]. https://www.statista.com/statistics/448169/deadliest-creatures-in-the-world-by-number-of-human-deaths/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The deadliest animals in the world based on the number of human deaths per year is not a creature that humans usually find scary, such as a lion or snake. Mosquitos are by far the deadliest creature in the world when it comes to annual human deaths, causing around one million deaths per year, compared to 100,000 deaths from snakes and 250 from lions. Perhaps surpringly, dogs are the third deadliest animal to humans. Dogs are responsible for around 30,000 human deaths per year, with the vast majority of these deaths resulting from rabies that is transmitted from the dog.

    Malaria

    Mosquitos are the deadliest creature in the world because they transmit a number of deadly diseases, the worst of which is malaria. Malaria is a mosquito-borne disease caused by a parasite that results in fever, chills, headache, vomiting and, if left untreated, death. Malaria disproportionately affects poorer regions of the world such as Africa and South-East Asia. In 2020, there were around 627,000 deaths from malaria worldwide.

    Mosquito-borne diseases in the U.S.

    The most common mosquito-borne diseases reported in the United States include West Nile virus, malaria, and dengue viruses. Many of these cases, however, are from travelers who contracted the disease in another country - this is especially true for malaria, Zika, and dengue. In 2018, the states of California, New York, and Texas reported the highest number of mosquito-borne disease cases in the United States.

  20. Most dangerous cities in the U.S. 2023, by violent crime rate

    • statista.com
    Updated Dec 12, 2024
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    Statista (2024). Most dangerous cities in the U.S. 2023, by violent crime rate [Dataset]. https://www.statista.com/statistics/217685/most-dangerous-cities-in-north-america-by-crime-rate/
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, around 3,640.56 violent crimes per 100,000 residents were reported in Oakland, California. This made Oakland the most dangerous city in the United States in that year. Four categories of violent crimes were used: murder and non-negligent manslaughter; forcible rape; robbery; and aggravated assault. Only cities with a population of at least 200,000 were considered.

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Statista (2025). World's most dangerous cities, by crime rate 2025 [Dataset]. https://www.statista.com/statistics/243797/ranking-of-the-most-dangerous-cities-in-the-world-by-murder-rate-per-capita/
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World's most dangerous cities, by crime rate 2025

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21 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 26, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2025
Area covered
World
Description

In 2025, Pietermaritzburg in South Africa ranked as the world's most dangerous city with a crime rate of 82 per 100,000 inhabitants. Five of the 10 cities with the highest crime rates worldwide are found in South Africa. The list does not include countries where war and conflict exist. South Africa dominates crime statistics When looking at crime rates, among the 10 most dangerous cities in the world, half of them are found in South Africa. The country is struggling with extremely high levels of inequality, and is struggling with high levels of crime and power outages, harming the country's economy and driving more people into unemployment and poverty. Crime in Latin America On the other hand, when looking at murder rates, Latin America dominates the list of the world's most dangerous countries. Violence in Latin America is caused in great part by drug trafficking, weapons trafficking, and gang wars.

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