The annual number of complaints of cybercrime received annually on the U.S. Internet Crime Complaint Center (IC3) website increased significantly between 2000 and 2024. The center received around 859,530 complaints in the most recently reported year.

In 2024, there were 13,469 murder offenders in the United States who were male, in comparison to 1,902 who were female. However, there were also 4,008 murder offenders whose gender was unknown. Homicides in the U.S. Murder and non-negligent manslaughter in the United States is defined as the willful killing of another human being. Justifiable homicides, or cases where a felon is killed by an officer in the line of duty or a felon is killed during a felony by a private citizen, are not included in murder counts by the Federal Bureau of Investigation (FBI). The total number of murders varies from state to state in the U.S., with more populous states having higher numbers of murders. Murder offenders and victims Most murder offenders in the United States are between the ages of 17 and 39, with the number of offenders declining steadily after age 40. Additionally, the highest rate of death by homicide was found among males between the ages of 15 and 24. The highest rate of death by homicide for females was for girls under the age of one.

Historical dataset showing Taiwan murder/homicide rate per 100K population by year from N/A to N/A.

Historical dataset showing U.S. murder/homicide rate per 100K population by year from 1990 to 2021.

This dataset provides a comprehensive overview of the financial losses due to various types of cybercrime in all 50 states and Washington D.C. in the United States for the years 2020 and 2021. The dataset is curated with detailed attention to demographic and regional variances, as well as the types of cybercrime that occurred. The data for individual crimes was extracted from the Internet Crime Complaint Centre, a unit under the FBI (Federal Bureau of Investigation).

The columns in this dataset are:

• s/n: Serial Number.
• State: The US state in which the cybercrimes occurred.
• Year: The year of the cybercrimes (2020 or 2021).
• Population: The population of the state for the given year.
• Totalcrime_count: The total count of all cybercrimes in the state for the given year.
• Totalcrime_loss: The total financial loss (in US dollars) due to all cybercrimes in the state for the given year.
• Bec_count: The count of Business Email Compromise (BEC) incidents in the state for the given year.
• Bec_loss: The total financial loss (in US dollars) due to BEC in the state for the given year.
• Romance_counts: The count of romance scam incidents in the state for the given year.
• Romance_loss: The total financial loss (in US dollars) due to romance scams in the state for the given year.
• Creditcard_count: The count of credit card fraud incidents in the state for the given year.
• Creditcard_loss: The total financial loss (in US dollars) due to credit card fraud in the state for the given year.
• Databreach_count: The count of data breach incidents in the state for the given year.
• Databreach_loss: The total financial loss (in US dollars) due to data breaches in the state for the given year.
• GovtImp_count: The count of government impersonation fraud incidents in the state for the given year.
• GovtImp_loss: The total financial loss (in US dollars) due to government impersonation fraud in the state for the given year.
• Age<20_count: The count of cybercrime victims under the age of 20.
• Age<20_loss: The total financial loss (in US dollars) for victims under the age of 20.
• Age<29_count: The count of cybercrime victims between the ages of 20 and 29.
• Age<29_loss: The total financial loss (in US dollars) for victims between the ages of 20 and 29.
• Age<39_count: The count of cybercrime victims between the ages of 30 and 39.
• Age<39_loss: The total financial loss (in US dollars) for victims between the ages of 30 and 39.
• Age<49_count: The count of cybercrime victims between the ages of 40 and 49.
• Age<49_loss: The total financial loss (in US dollars) for victims between the ages of 40 and 49.
• Age<59_count: The count of cybercrime victims between the ages of 50 and 59.
• Age<59_loss: The total financial loss (in US dollars) for victims between the ages of 50 and 59.
• Age>60_count: The count of cybercrime victims aged 60 and above.
• Age>60_loss: The total financial loss (in US dollars) for victims aged 60 and above.

This dataset is ideal for those who wish to investigate trends in cybercrime across different US states, the financial impact of various types of cybercrime, or the impact of cybercrime on different age groups. It can also be used to generate insights for developing strategies to combat cybercrime, implementing protective measures, and raising awareness about this growing issue. The crime data contained herein was extracted from the Internet Crime Complaint Centre, a unit under the FBI, which ensures its authenticity and reliability.

Historical dataset showing Mali murder/homicide rate per 100K population by year from N/A to N/A.

This dataset gives the state shares of Internet perpetrators in the U.S. The data was extracted from the 2007 Internet Crime Report prepared by the National White Collar Crime Center, the Bureau of Justice Assistance and FBI. Further details are provide in the report (see URL link below)

In 2024, the most common type of cybercrime reported to the United States internet Crime Complaint Center was phishing, with its variation, spoofing, affecting approximately 193,000 individuals. In addition, over 86,000 cases of extortion were reported to the IC3 during that year. Dynamic of phishing attacks Over the past few years, phishing attacks have increased significantly. In 2024, over 193,000 individuals fell victim to such attacks. The highest number of phishing scam victims since 2018 was recorded in 2021, approximately 324 thousand.Phishing attacks can take many shapes. Bulk phishing, smishing, and business e-mail compromise (BEC) are the most common types. With the recent development of generative AI, it has become easier to craft a believable phishing e-mail. This is currently among the top concerns of organizations leaders. Impact of phishing attacks Among the most targeted industries by cybercriminals are healthcare, financial, manufacturing, and education institutions. An observation carried out in the fourth quarter of 2024 found that software-as-a-service (SaaS) and webmail was most likely to encounter phishing attacks. According to the reports, almost a quarter of them stated being targeted by a phishing scam in the measured period.

This data reports Internet crime perpetrators per capita (per 100,000 people) by State for 2007. The data was extracted from the 2007 Internet Crime Report prepared by The National White Collar Crime Center, the Bureau of Justice Assistance, FBI. Further details provided in the link to the report in the URL below.

Historical dataset showing Central America murder/homicide rate per 100K population by year from N/A to N/A.

Incident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), police services in Ontario, 1998 to 2024.

In 2022, around four in ten internet users worldwide have ever experienced cybercrime. Based on a survey conducted between November and December 2022, internet users in India were most likely to have fallen victim to cybercrime, as nearly 70 percent of respondents claimed to have ever experienced cybercrime. The United States ranked second, with almost half of the respondents, 49 percent, saying they had experienced internet crime.

This data reports Internet crime complainents per capita (per 100,000 people) by State for 2007. The data was extracted from the 2007 Internet Crime Report prepared by The National White Collar Crime Center, the Bureau of Justice Assistance, FBI. Further details provided in the link to the report in the URL below.

Historical dataset showing Chad murder/homicide rate per 100K population by year from N/A to N/A.

This dataset reflects incidents of crime in the City of Los Angeles dating back to 2010. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. This data was taken from data.gov(https://catalog.data.gov/dataset/crime-data-from-2010-to-present) It includes Date and time when was the crime took place, area where it has happen, type of crime and weapon used.

In 2024, the number of crimes that were committed using the internet, digital devices, or other telecommunication technologies increased in Russia. The number of technology crimes was the highest over the observed period.

Historical dataset showing Africa murder/homicide rate per 100K population by year from N/A to N/A.

In 2024, investment fraud was the cybercrime causing the most severe financial damage for the individuals in the United States. Overall, victim losses in this category were over 6.5 billion U.S. dollars. Business e-mail compromise (BEC) ranked second, amounting to around 2.8 billion U.S. dollars in reported victim losses. A further 1.5 billion U.S. dollars were reported in losses for tech support fraud victims.

Incident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), police services in Alberta, 1998 to 2024.