This dataset includes all criminal offenses reported to the Colorado Springs Police Department. Each case report (incident) may have several offenses. Each offense may have multiple suspects and/or victims.

Important: This dataset provided by CSPD does not apply the same counting rules as official data reported to the Colorado Bureau of Investigations and the Federal Bureau of Investigation. This means comparisons to those datasets would be inaccurate.

Offenses in Colorado for 2016 through 2022 by Agency from the FBI's Crime Data Explorer.

National or state offense totals are based on data from all reporting agencies and estimates for unreported areas. Rates are the number of reported offenses per 100,000 population
Sources: FBI, Uniform Crime Reports, prepared by the National Archive of Criminal Justice Data
Date of download: Sep 18 2013

In the late 1970s, the Rand Corporation pioneered a method of collecting crime rate statistics. They obtained reports of offending behavior--types and frequencies of crimes committed--directly from offenders serving prison sentences. The current study extends this research by exploring the extent to which variation in the methodological approach affects prisoners' self-reports of criminal activity. If the crime rates reported in this survey remained constant across methods, perhaps one of the new techniques developed would be easier and/or less expensive to administer. Also, the self-reported offending rate data for female offenders in this collection represents the first time such data has been collected for females. Male and female prisoners recently admitted to the Diagnostic Unit of the Colorado Department of Corrections were selected for participation in the study. Prisoners were given one of two different survey instruments, referred to as the long form and short form. Both questionnaires dealt with the number of times respondents committed each of eight types of crimes during a 12-month measurement period. The crimes of interest were burglary, robbery, assault, theft, auto theft, forgery/credit card and check-writing crimes, fraud, and drug dealing. The long form of the instrument focused on juvenile and adult criminal activity and covered the offender's childhood and family. It also contained questions about the offender's rap sheet as one of the bases for validating the self-reported data. The crime count sections of the long form contained questions about motivation, initiative, whether the offender usually acted alone or with others, and if the crimes recorded included crimes against people he or she knew. Long-form data are given in Part 1. The short form of the survey had fewer or no questions compared with the long form on areas such as the respondent's rap sheet, the number of crimes committed as a juvenile, the number of times the respondent was on probation or parole, the respondent's childhood experiences, and the respondent's perception of his criminal career. These data are contained in Part 2. In addition, the surveys were administered under different conditions of confidentiality. Prisoners given what were called "confidential" interviews had their names identified with the survey. Those interviewed under conditions of anonymity did not have their names associated with the survey. The short forms were all administered anonymously, while the long forms were either anonymous or confidential. In addition to the surveys, data were collected from official records, which are presented in Part 3. The official record data collection form was designed to collect detailed criminal history information, particularly during the measurement period identified in the questionnaires, plus a number of demographic and drug-use items. This information, when compared with the self-reported offense data from the measurement period in both the short and long forms, allows a validity analysis to be performed.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in El Paso County, CO (DISCONTINUED) (FBITC008041) from 2004 to 2021 about El Paso County, CO; Colorado Springs; crime; violent crime; property crime; CO; and USA.

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.

In 2023, the property crime rate in the District of Columbia was 4,307.4 reported property crimes per 100,000 residents. New Mexico, Washington, Colorado and Louisiana rounded out the top five states with the highest rates of property crime in that year.

National or state offense totals are based on data from all reporting agencies and estimates for unreported areas. Rates are the number of reported offenses per 100,000 population. Offense Crimes Include: Violent crime (Murder and non-negligent manslaughter, forcible rape, robbery, and aggravated assault) & Property crime (Burglary, larceny-theft, and motor vehicle theft).

National or state offense totals are based on data from all reporting agencies and estimates for unreported areas. Rates are the number of reported offenses per 100,000 population
Sources: FBI, Uniform Crime Reports, prepared by the National Archive of Criminal Justice Data
Date of download: Sep 18 2013

Crime stats for the State of Colorado from 1997 to 2015. Data provided by the CDPS and the FBI's Crime Data Explorer (CDE).

This study examined the role of stalking in domestic violence crime reports produced by the Colorado Springs Police Department (CSPD). It provided needed empirical data on the prevalence of stalking in domestic violence crime reports, risk factors associated with intimate partner stalking, and police responses to reports of intimate partner stalking. The study was conducted jointly by the Justice Studies Center (JSC) at the University of Colorado at Colorado Springs and the Denver-based Center for Policy Research (CPR). JSC staff generated the sample and collected the data, and CPR staff processed and analyzed the data. The sample was generated from CSPD Domestic Violence Summons and Complaint (DVSC) forms, which were used by CSPD officers to investigate crime reports of victims and suspects who were or had been in an intimate relationship and where there was probable cause to believe a crime was committed. During January to September 1999, JSC staff reviewed and entered information from all 1998 DVSC forms into a computerized database as part of the evaluation process for Domestic Violence Enhanced Response Team (DVERT), a nationally recognized domestic violence prevention program. A subfile of reports initiated during April to September 1998 was generated from this database and formed the basis for the study sample. The DVSC forms contained detailed information about the violation including victim and suspect relationship, type of violation committed, and specific criminal charges made by the police officer. The DVSC forms also contained written narratives by both the victim and the investigating officer, which provided detailed information about the events precipitating the report, including whether the suspect stalked the victim. The researchers classified a domestic violence crime report as having stalking allegations if the victim and/or police narrative specifically stated that the victim was stalked by the suspect, or if the victim and/or police narrative mentioned that the suspect engaged in stalking-like behaviors (e.g., repeated following, face-to-face confrontations, or unwanted communications by phone, page, letter, fax, or e-mail). Demographic variables include victim-suspect relationship, and age, race, sex, and employment status of the victim and suspect. Variables describing the violation include type of violation committed, specific criminal charges made by the police officer, whether the alleged violation constituted a misdemeanor or a felony crime, whether a suspect was arrested, whether the victim sustained injuries, whether the victim received medical attention, whether the suspect used a firearm or other type of weapon, whether items were placed in evidence, whether the victim or suspect was using drugs and/or alcohol at the time of the incident, number and ages of children in the household, whether children were in the home at the time of the incident, and whether there was a no-contact or restraining order in effect against the suspect at the time of the incident.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Park County, CO (DISCONTINUED) (FBITC008093) from 2004 to 2021 about Park County, CO; crime; violent crime; property crime; Denver; CO; and USA.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Douglas County, CO (DISCONTINUED) (FBITC008035) from 2004 to 2021 about Douglas County, CO; crime; violent crime; property crime; Denver; CO; and USA.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Lake County, CO (DISCONTINUED) (FBITC008065) from 2005 to 2021 about Lake County, CO; crime; violent crime; property crime; CO; and USA.

Murder and non-negligent manslaughter, forcible rape, robbery, and aggravated assault. National or state offense totals are based on data from all reporting agencies and estimates for unreported areas. Rates are the number of reported offenses per 100,000 population. These figures are based on end of calendar year populations.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Gilpin County, CO (DISCONTINUED) (FBITC008047) from 2005 to 2021 about Gilpin County, CO; crime; violent crime; property crime; Denver; CO; and USA.

Total Crime includes: Violent crimes- Murder and non-negligent manslaughter, forcible rape, robbery, and aggravated assault. Property crimes - Burglary, larceny/theft, and motor vehicle theft. National or state offense totals are based on data from all reporting agencies and estimates for unreported areas. Rates are the number of reported offenses per 100,000 population. These figures are based on end of calendar year populations.

This study was undertaken to measure the criminal behavior of gangs, including their involvement in delinquent behavior such as drug use and drug trafficking activities, and to compare gang behavior with that of youth who were at risk, but who had not yet become active in gangs. The project assessed the role that gangs play in the lives of youth whose living conditions are otherwise comparable. In order to study the criminal behavior of gangs, investigators sought to interview 50 gang members and 50 non-gang, at-risk youth at two sites in Colorado and one site in Florida. A large portion of the interview questions asked in both the gang member interview and the at-risk youth interview were parallel. The following variables appear in both the gang member and at-risk youth files (Parts 1 and 2 respectively) created for this data collection: gang popularity variables (respondents' perceptions of the positive and negative attributes of a gang, and why gangs endure over time), drug involvement variables (whether respondents or fellow members/friends sold various types of drugs, why selling drugs increases a person's "juice", the drug source organization, and where they traveled to get the drugs), criminal history variables (the reasons why respondents believed they were able to get away with crimes, their first arrest age, and their most serious arrest charge), personal activity variables (whether respondents or fellow members/friends participated in dances, sporting events, fighting, drug use or selling, shoplifting, assaulting people, or burglarizing homes), variables concerning the future (whether respondents would join a gang again/join a gang today, why some gangs survive and others don't, and how respondents see their future), and demographic variables (respondents' age, sex, race, city, neighborhood, school, school status, type of work, marital status, and relationship with parent(s)). In addition, Part 1, the Gang Member Data, contains gang status variables (gang symbols, gang nickname, gang turf, and how members define a gang) and gang membership variables (roles of the respondents within the gang, why members join a gang, what the most important gang rule is, and what happens to those who refuse the gang). Part 2, At-Risk Youth Data, contains additional variables on gang contact (the names of gangs who had approached the respondents, methods used to try to get the youths to join, how the youths refused the gang, and what happened as a result of refusing) and prevention (how at-risk youth would advise a young person to react if approached by a gang, and what the youths felt was the best way to prepare children to deal with gangs).

These data are for the the FBI Uniform Crime Reporting (UCR) index. The crime index includes Willful Homicide, Rape, Robbery, Aggravated Assault, Burglary, Larceny (Theft), Motor Vehicle Theft, and Arson (definitions are in each column header).

State-wide crime information can be found at the Colorado Bureau of Investigation (https://www.colorado.gov/cbi).

Geospatial data about Denver, Colorado Crime. Export to CAD, GIS, PDF, CSV and access via API.