In 2025, about ** percent of Americans felt there is more crime now in the United States than there was a year ago. A further ***percent of survey respondents said that there was less crime in the U.S. in 2025 than there was the year previous.

In 2024, the violent crime rate in the United States was ***** cases per 100,000 of the population. Even though the violent crime rate has been decreasing since 1990, the United States tops the ranking of countries with the most prisoners. Violent crimes in the U.S. In 2024, there were around *** million violent crimes reported to the FBI in the United States, compared to around ****million property crimes that year. Among violent crimes, aggravated assaults were the most common offenses in the United States, while homicide offenses were the least common. Furthermore, Memphis, Oakland, and Detroit were the most dangerous cities with the highest rate of violent crimes in the country. Law enforcement and violent crime The violent crime rate in the U.S. followed a downward trend until about 2014, after which the crime rate stabilized. This occured alongside a decline in the number of law enforcement officers. Since then, an increase in the number of poliuce officers has not been associated with a further reduction in the country's violent crime rate.

**Notice: Transition to NIBRS-Compliant Crime Data Reporting The Los Angeles Police Department (LAPD) has completed its transition from the legacy Records Management System, which reported crime and arrest data under Uniform Crime Reporting (UCR) standards, to a modernized system fully aligned with the National Incident-Based Reporting System (NIBRS). As part of this transition, the legacy system is no longer active, and no new information will be entered. Consequently, the Crime Data from 2020 to Present dataset will no longer be updated. It will remain available on the portal for historical reference only. To provide the public with current and comprehensive information, LAPD now publishes datasets sourced directly from the new Records Management System in accordance with NIBRS standards. These datasets were introduced in October 2024 and are refreshed on a bi-weekly schedule: • [LAPD NIBRS Offenses Dataset | Los Angeles Open Data Portal] • [LAPD NIBRS Victims Dataset | Los Angeles Open Data Portal] The adoption of NIBRS ensures LAPD crime and arrest data meet national standards, enhancing transparency, accuracy, and accessibility for the public. On March 7th, 2024, the Los Angeles Police Department (LAPD) adopted a new Records Management System for reporting crimes and arrests. This new system is implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs). This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. 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. Please note questions or concerns in the comments.

Crime Trends in India from 2001 to 2020

A Statistical Overview of Criminal Victimization and Offender Action

By Rajanand Ilangovan [source]

About this dataset

This Dataset provides an up-to-date analysis of crime trends in India from 2001 to the present. It contains complete information about different types of crimes such as rape, murder, and theft that were committed across India. By analyzing this dataset we can determine the areas where crimes were most prevalent, what type of offenders were usually involved in the crime and which year had the highest number of registered cases. Additionally, we can also analyse which group experienced most complaints and what kind of punishments or consequences they faced like departmental enquiries, magisterial enquiries or police personnel trials completed. This data set is perfect for further research into crime trends in India and will help us better understand why certain types of crimes take place more frequently than others

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

• Area Name (state or UT) where the crime was reported. • Year in which the crime was reported. • Subgroup (type of crime). • Number of cases registered, number of cases reported for departmental action etc., related to a particular type of crime and state/UT.
• Number of complaints/cases declared false/unsubstantiated, number of police personnel convictions etc., related to a particular type of crime and state/UT.
• Number of cases in which offenders were others known persons to the victims, neighbours or relatives to the victims etc., related to a particular type of crime and state/UT.

By studying this dataset one might explore different angles by analysing factors like:

• What are the top states with high rate criminal activities? Which areas are relatively safer?
• Are any states witnessing higher incidences than national average levels? Alternatively, are there any regions which have recorded lower rates than national average levels?
• What is trend between sub crimes across India both regional & time wise? How has it changed over time ? (2001-20) ;
Movement among crimes on monthly basis during period 2001 - 2020 Comparison among ages , genders & professions involved with Crime Rates && Timeline comparison between Types Of Crime , Crimes Involving Police Personnel Contractors in Crimes as timeline . Immigration Report . Is absolute difference btw urban & rural up from previous years ? Open conversations about what government efforts need more focus & why . Fundamentals impacting reducing / increasing rate behind closed doors . Any impactful key insights about SelfDefence Degree given out that year highlighting decreasing / increasing amount if increase thenwhat extra activity got curated btw that law was enacted vs before enactment if possible Outliers Analysis on same murders done by pediphiles or sexual assault against women under minorities if exists

Research Ideas

• Analyzing crime trends over time by analyzing the Year, Sub_group and Area_Name columns to understand different types of crimes and patterns of criminal activity in India.

• Evaluating the effectiveness of police response to different types of crimes, such as comparing the CPA_-_Cases_Registered, CPA_-_Cases_Reported_for_Dept._Action and CPB_-_Police_PersonnelAcquitted data fields across different time periods, sub-groups and areas to assess how well law enforcement is responding to crimes reported.

• Tracking changes in punishment awarded for different crimes by analyzing the CPC_-_Police_-Personnel_-Major-Punishment_-awarded data field for changes over ti...

Analyzing crime data from 2020 to the present is essential for understanding trends and patterns in criminal activity. Such datasets are valuable for law enforcement agencies, policymakers, researchers, and the public to make informed decisions about crime prevention and intervention strategies. When working with a crime dataset spanning this time frame, it's important to consider several factors to determine whether it's suitable for crime analysis

Trends in Crime Survey for England and Wales (CSEW) crime (accredited official statistics) and Home Office police recorded crime (official statistics) for England and Wales, by offence type. Also includes more detailed data on crime such as violence, fraud and anti-social behaviour.

This dataset provides a detailed analysis of crime occurrences from January 1, 2020, to September 2, 2024. With crime rates fluctuating during and after the COVID-19 pandemic, this dataset aims to uncover significant trends, demographic insights, and temporal crime patterns. The data has been meticulously cleaned and prepared for accurate analysis, enabling users to explore the dynamics of crime over the past four years.

Dataset Features:

• Time Range: January 2020 – September 2024
• Location: Los Angelos
• Key Focus Areas:
• Yearly and monthly crime trends
• Geographic distribution of crime rates
• Temporal patterns: Day vs. night crime analysis
• Victim demographics: Gender, age, and ethnicity breakdowns
• Crime types: Understanding which crimes are more common during specific times of day

Data Preparation:

• The dataset was sourced from: https://catalog.data.gov/dataset/crime-data-from-2020-to-present
• Comprehensive cleaning was applied, including the removal of duplicates, null values, and the standardization of categorical entries to ensure consistency and accuracy in the data.

Potential Uses:

• Identifying temporal and spatial crime patterns
• Studying the impact of the COVID-19 pandemic on crime rates
• Analyzing demographic factors related to crime victimization
• Developing predictive models for future crime occurrences

Column Descriptors:

• incident_id: Unique identifier for each crime report
• date: Date of the reported crime
• time: Time when the crime occurred
• year: Year the crime took place
• location: The geographic area where the crime was reported
• crime_type: Category/type of crime (e.g., burglary, assault, theft)
• victim_gender: Gender of the victim (if reported)
• victim_age: Age of the victim (if reported)
• victim_ethnicity: Ethnic group of the victim (if reported)
• time_of_day: Categorization of crime occurrence (day or night)
• crime_severity: Indicator of the severity of the crime
• arrest_made: Whether an arrest was made in connection with the crime (Yes/No)
• outcome: Final outcome of the crime report (e.g., solved, pending, unsolved)

"Crime Statistics" is a comprehensive collection of datasets focused on various dimensions of crime within a region, state, and district provided by the National Crime Records Bureau (NCRB). This dataset collection is invaluable for researchers, policymakers, law enforcement agencies, and social welfare organizations. It provides a multifaceted view of crime, covering different victim groups and crime types, ranging from crimes against specific social groups to cybercrimes and missing person cases. The datasets included help analyze trends, formulate targeted policies, and implement crime prevention strategies.

Investigator(s): Federal Bureau of Investigation Since 1930, the Federal Bureau of Investigation (FBI) has compiled the Uniform Crime Reports (UCR) to serve as periodic nationwide assessments of reported crimes not available elsewhere in the criminal justice system. With the 1977 data, the title was expanded to Uniform Crime Reporting Program Data. Each year, participating law enforcement agencies contribute reports to the FBI either directly or through their state reporting programs. ICPSR archives the UCR data as five separate components: (1) summary data, (2) county-level data, (3) incident-level data (National Incident-Based Reporting System [NIBRS]), (4) hate crime data, and (5) various, mostly nonrecurring, data collections. Summary data are reported in four types of files: (a) Offenses Known and Clearances by Arrest, (b) Property Stolen and Recovered, (c) Supplementary Homicide Reports (SHR), and (d) Police Employee (LEOKA) Data (Law Enforcement Officers Killed or Assaulted). The county-level data provide counts of arrests and offenses aggregated to the county level. County populations are also reported. In the late 1970s, new ways to look at crime were studied. The UCR program was subsequently expanded to capture incident-level data with the implementation of the National Incident-Based Reporting System. The NIBRS data focus on various aspects of a crime incident. The gathering of hate crime data by the UCR program was begun in 1990. Hate crimes are defined as crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity. In September 1994, disabilities, both physical and mental, were added to the list. The fifth component of ICPSR's UCR holdings is comprised of various collections, many of which are nonrecurring and prepared by individual researchers. These collections go beyond the scope of the standard UCR collections provided by the FBI, either by including data for a range of years or by focusing on other aspects of analysis. NACJD has produced resource guides on UCR and on NIBRS data.

Data from the Crime Survey for England and Wales (CSEW) showing breakdowns of victimisation over time and by various demographic characteristics.

Gain critical insights into crime trends, risk assessment, and public safety with our comprehensive Crime Dataset. Designed for law enforcement agencies, researchers, and analysts, this dataset provides structured and reliable crime data to support investigations, policy-making, and crime prevention strategies.

Dataset Features

Crime Reports: Access detailed records of reported crimes, including incident type, date, time, and location. Law Enforcement Data: Extract information on arrests, case statuses, and law enforcement responses. Geospatial Crime Mapping: Analyze crime distribution across different regions, cities, and neighborhoods. Trends & Patterns: Identify crime trends over time, including seasonal fluctuations and high-risk areas. Demographic Insights: Understand crime demographics, including offender and victim profiles.

Customizable Subsets for Specific Needs Our Crime Dataset is fully customizable, allowing you to filter data based on crime type, location, time period, or law enforcement jurisdiction. Whether you need broad coverage for national crime analysis or focused data for local risk assessment, we tailor the dataset to your needs.

Popular Use Cases

Crime Risk Assessment & Prevention: Identify high-crime areas, assess risk factors, and develop crime prevention strategies. Law Enforcement & Investigations: Support law enforcement agencies with structured crime data for case analysis and intelligence gathering. Urban Planning & Public Safety: Use crime data to inform city planning, improve public safety measures, and allocate resources effectively. AI & Predictive Analytics: Train AI models for crime forecasting, anomaly detection, and predictive policing. Policy & Legal Research: Analyze crime trends to support policy-making, legal studies, and criminal justice reforms.

Whether you're analyzing crime trends, supporting law enforcement, or developing predictive models, our Crime Dataset provides the structured data you need. Get started today and customize your dataset to fit your research and security objectives.

In 2024, ********* property and violent crimes were reported in California - the most out of any state. Texas followed behind, with ******* reported crimes. However, as the FBI estimates national trends of crime by asking law enforcement agencies across the country to self-report their crime data, the reported number of crimes committed in each state is dependent upon whether they provided the information to the Bureau's crime reporting system. For example, the state of Florida reported only *** percent of their crime data in 2022, raising the question of whether Florida has again failed to report the majority of their crimes in 2023 and if they should be higher up on this list. As many states have neglected to report all of their crime data to the FBI in the last few years, the total numbers may not accurately represent the number of crimes committed in each state.

Crime isn't a topic most people want to use mental energy to think about. We want to avoid harm, protect our loved ones, and hold on to what we claim is ours. So how do we remain vigilant without digging too deep into the filth that is crime? Data, of course. The focus of our study is to explore possible trends between crime and communities in the city of Calgary. Our purpose is visualize Calgary criminal behaviour in order to help increase awareness for both citizens and law enforcement. Through the use of our visuals, individuals can make more informed decisions to improve the overall safety of their lives. Some of the main concerns of the study include: how crime rates increase with population, which areas in Calgary have the most crime, and if crime adheres to time-sensative patterns.

Crime Trends and Operations of Criminal Justice Systems (UN-CTS) - Sexual Violence

Overview:

This dataset provides comprehensive data on sexual violence at the national level, collected from police-recorded offenses between 2003 and 2011. The data is sourced from the United Nations Surveys on Crime Trends and the Operations of Criminal Justice Systems (UN-CTS), offering insights into the prevalence of sexual violence and the functioning of criminal justice systems across different countries and territories.

Dataset Details:

To estimate national trends of crime, the FBI collects crime reports from law enforcement agencies across the country. In 2022, Delaware, the District of Columbia, and Oklahoma had perfect participation rates, with 100 percent of law enforcement agencies reporting crime data to the FBI in those states. In contrast, the state of Florida had the lowest share of law enforcement agencies that reported crime data to the FBI in the United States, at *** percent. An unreliable source? Along with being the principal investigative agency of the U.S. federal government, the FBI is also in charge of tracking crimes committed in the country. In recent years, however, the FBI made considerable changes to their crime reporting system, requiring more detailed input on how agencies report their data. Consequently, less crime data has been reported, and the FBI has come under criticism as an unreliable source on crime in the United States. Importance of crime rates As crime and policing data can help to analyze emerging issues and policy responses, the inaccuracy of the FBI’s crime reporting system may lead to misinformation, which could be used to impact elections and the beliefs of the American public.

We estimate changes in the rates of five FBI Part 1 crimes during the 2020 spring COVID-19 pandemic lockdown period and the period after the killing of George Floyd through December 2020. We use weekly crime rate data from 28 of the 70 largest cities in the United States from January 2018 to December 2020. Homicide rates were higher throughout 2020, including during early 2020 prior to March lockdowns. Auto thefts increased significantly during the summer and remainder of 2020. In contrast, robbery and larceny significantly declined during all three post-pandemic periods. Point estimates of burglary rates pointed to a decline for all four periods of 2020, but only the pre-pandemic period was statistically significant. We construct a city-level openness index to examine whether the degree of openness just prior to and during the lockdowns was associated with changing crime rates. Larceny and robbery rates both had a positive and significant association with the openness index implying lockdown restrictions reduced offense rates whereas the other three crime types had no detectable association. While opportunity theory is a tempting post hoc explanation of some of these findings, no single crime theory provides a plausible explanation of all the results. Supplementary materials for this article are available online.

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), Canada, provinces, territories, Census Metropolitan Areas and Canadian Forces Military Police, 1998 to 2024.

Suburb-based crime statistics for crimes against the person and crimes against property. The Crime statistics datasets contain all offences against the person and property that were reported to police in that respective financial year. The Family and Domestic Abuse-related offences datasets are a subset of this, in that a separate file is presented for these offences that were flagged as being of a family and domestic abuse nature for that financial year. Consequently the two files for the same financial year must not be added together. Data is point in time.

In 2024, the District of Columbia had the highest reported violent crime rate in the United States, with ******* violent crimes per 100,000 residents. In contrast, Maine had the lowest reported violent crime rate, with around *** offenses per 100,000 of the population. Life in the District The District of Columbia has seen fluctuating population growth over the past few decades. Its population declined throughout the 1990s, when crime rates were at their peak, but has recovered since then. While unemployment in the district has also been falling, it still had a high poverty rate in recent years. Law enforcement in the U.S. Crime rates in the U.S. have decreased compared to previous years, although many Americans still perceive crime as an important issue. The number of law enforcement officers in the U.S. has recently increased. Additionally, initiatives by the Justice Department, focused on community-based prevention and intervention programs, have further helped lower violent crime rates.