Context

Crime data analysis is essential for understanding patterns of criminal activity, identifying risk factors, and informing public safety policies. This dataset provides a detailed look at reported offenses in Indiana for the year 2023, offering valuable insights into demographic trends, geographic crime distribution, and seasonal variations. By analyzing this dataset, researchers, policymakers, and data enthusiasts can uncover key factors influencing crime rates and develop data-driven strategies for prevention and intervention.

Content

This dataset compiles crime records from Indiana in 2023, structured to facilitate in-depth analysis across various dimensions. It includes:

• Demographics – Age, race, and gender details of individuals involved in reported offenses, enabling a deeper understanding of crime patterns among different population groups.
• Offense Details – Categorized crime types, including theft, violent crimes, drug-related offenses, and property crimes, to reveal crime distribution across Indiana.
• Temporal Patterns – A breakdown of crimes by month to identify seasonal crime trends and fluctuations throughout the year.
• Geographic Distribution – County-level crime data that highlight high-crime areas and differences in crime rates between urban and rural regions.
• Arrest Rates – Information on arrests linked to various offenses, providing insights into law enforcement actions and policy effectiveness.

Inspiration

This dataset presents several opportunities for exploration and analysis:

• Which demographics are most affected by specific types of crime?
• How do crime rates vary across different counties, and what factors contribute to regional differences?
• Are there seasonal patterns in criminal activity that could inform law enforcement strategies?
• What are the relationships between arrest rates and specific types of offenses?

Potential Applications

This dataset is well-suited for various analytical and research purposes, including:

• Demographic Analysis – Examining which age, race, and gender groups are most affected by certain offenses.
• Geographic Insights – Analyzing county-level crime rates to understand how population density and urbanization impact crime trends.
• Temporal Analysis – Identifying seasonal crime patterns to assist in resource allocation and crime prevention strategies.
• Policy Recommendations – Using data insights to propose interventions aimed at reducing crime and improving community safety.
• Machine Learning Applications – Developing predictive models for crime forecasting and classification.

Ideal For

• Beginners and intermediate analysts looking to apply data cleaning, visualization, and storytelling skills.
• Machine learning enthusiasts interested in crime prediction models.
• Policymakers, law enforcement agencies, and public safety organizations seeking data-driven insights for decision-making.

Dataset Origin

This dataset was curated from publicly available Indiana crime records and compiled for educational and analytical purposes. All personally identifiable information has been anonymized to ensure privacy.

Licensing and Restrictions

This dataset is open for non-commercial projects. Attribution to the original source is appreciated when sharing findings or insights.

In 2023, the District of Columbia had the highest reported violent crime rate in the United States, with 1,150.9 violent crimes per 100,000 of the population. Maine had the lowest reported violent crime rate, with 102.5 offenses per 100,000 of the population. Life in the District The District of Columbia has seen a fluctuating population over the past few decades. Its population decreased throughout the 1990s, when its crime rate was at its peak, but has been steadily recovering since then. While unemployment in the District has also been falling, it still has had a high poverty rate in recent years. The gentrification of certain areas within Washington, D.C. over the past few years has made the contrast between rich and poor even greater and is also pushing crime out into the Maryland and Virginia suburbs around the District. Law enforcement in the U.S. Crime in the U.S. is trending downwards compared to years past, despite Americans feeling that crime is a problem in their country. In addition, the number of full-time law enforcement officers in the U.S. has increased recently, who, in keeping with the lower rate of crime, have also made fewer arrests than in years past.

The lever-pulling model was first developed as part of a broad-based, problem-solving effort implemented in Boston in the mid-1990s. The lever-pulling strategy was a foundational element of many collaborative partnerships across the country and it was a central element of the strategic plans of many Project Safe Neighborhoods (PSN) jurisdictions. This effort attempted to deter the future violent behavior of chronic offenders by first communicating directly to them about the impact that violence had on the community and the implementation of new efforts to respond to it, and then giving credibility to this communication effort by using all available legal sanctions (i.e., levers) against these offenders when violence occurred. The purpose of the study was to perform an experimental evaluation of a lever-pulling strategy implemented in Indianapolis, Indiana. Probationers were randomly assigned to the law enforcement focused lever-pulling group, the community leader lever-pulling group, or a regular probation control group during six months between June 2003 and March 2004. There were a total of 540 probationers in the study--180 probationers in each group. Probationers in the law enforcement focused lever-pulling group had face-to-face meetings with federal and local law enforcement officials and primarily received a deterrence-based message, but community officials also discussed various types of job and treatment opportunities. In contrast, probationers in the community leader lever-pulling group attended meetings with community leaders and service providers who exclusively focused on the impact of violence on the community and available services. Three types of data were collected to assess perceptions about the meeting: offending behavior, program participation behavior, and the levers pulled. First, data were collected using a self-report survey instrument (Part 1). Second, the complete criminal history for probationers (Part 2) was collected one-year after their meeting date. Third, all available probation data (Part 3) were collected 365 days after the meeting date. Part 1, Self-Report Survey Data, includes a total of 316 variables related to the following three types of data: Section I: meeting evaluation and perception of risk, Section II: Self-reported offense and gun use behavior, and Section III: Demographics. Part 2, Criminal History Data, includes a total of 94 variables collected about the probationer's complete offending history as well as their criminal activities after the treatment for one year. Part 3, Probation Data, includes a total of 249 variables related to probation history and other outcome data.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Indiana State Police (State Police) in Indiana, including incidents, statistics, demographics, and detailed incident information.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Indiana County, PA (DISCONTINUED) (FBITC042063) from 2011 to 2018 about Indiana County, PA; crime; violent crime; property crime; PA; and USA.

NOTE: If the data set is empty, the data is not processed and published, yet. Please see UCR data from previous years. The Uniform Crime Report is a program administered by the federal government in which crime statistics from across the country are reported to the FBI in a uniform manner based on crime definitions determined by the FBI. UCR Part 1 crime groups are murder, rape, robbery, aggravated assault, burglary, larceny, and vehicle theft. Additional information regarding the downloadable files is available in .pdf format.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Brown County, IN (DISCONTINUED) (FBITC018013) from 2004 to 2018 about Brown County, IN; crime; violent crime; property crime; Indianapolis; IN; and USA.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Indiana University: Southeast (University or College) in Indiana, including incidents, statistics, demographics, and detailed incident information.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Shelby County, IN (DISCONTINUED) (FBITC018145) from 2004 to 2019 about Shelby County, IN; crime; violent crime; property crime; Indianapolis; IN; and USA.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Indiana County, PA was 0.00000 Known Incidents in January of 2018, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Indiana County, PA reached a record high of 2.00000 in January of 2014 and a record low of 0.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Indiana County, PA - last updated from the United States Federal Reserve on November of 2025.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Putnam County, IN (DISCONTINUED) (FBITC018133) from 2004 to 2011 about Putnam County, IN; crime; violent crime; property crime; Indianapolis; IN; and USA.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Indiana University: Northwest (University or College) in Indiana, including incidents, statistics, demographics, and detailed incident information.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Hendricks County, IN (DISCONTINUED) (FBITC018063) from 2004 to 2021 about Hendricks County, IN; crime; violent crime; property crime; Indianapolis; IN; and USA.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Wayne County, IN (FBITC018177) from 2005 to 2019 about Wayne County, IN; crime; violent crime; property crime; IN; Prosperity Scorecard; and USA.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Boone County, IN (DISCONTINUED) (FBITC018011) from 2007 to 2012 about Boone County, IN; crime; violent crime; property crime; Indianapolis; IN; and USA.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in St. Joseph County, IN (DISCONTINUED) (FBITC018141) from 2004 to 2021 about St. Joseph County, IN; South Bend; crime; violent crime; property crime; IN; and USA.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Fulton County, IN (DISCONTINUED) (FBITC018049) from 2010 to 2021 about Fulton County, IN; crime; violent crime; property crime; IN; and USA.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Knox County, IN (DISCONTINUED) (FBITC018083) from 2005 to 2016 about Knox County, IN; crime; violent crime; property crime; IN; and USA.

Financial overview and grant giving statistics of Crime Stoppers of Central Indiana Inc.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Huntington County, IN (DISCONTINUED) (FBITC018069) from 2005 to 2017 about Huntington County, IN; crime; violent crime; property crime; IN; and USA.