The Denver Police Department strives to make crime data as accurate as possible, but there is no avoiding the introduction of errors into this process, which relies on data furnished by many people and that cannot always be verified. Data on this site are updated Monday through Friday, adding new incidents and updating existing data with information gathered through the investigative process.Not surprisingly, crime data become more accurate over time, as new incidents are reported and more information comes to light during investigations.Crimes that occurred at least 30 days ago tend to be the most accurate, although records are returned for incidents that happened yesterday. This dynamic nature of crime data means that content provided here today will probably differ from content provided a week from now. Likewise, content provided on this site will probably differ somewhat from crime statistics published elsewhere by the City and County of Denver, even though they draw from the same database.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study examined maternal and youth self-reports of arrests and convictions with official records of crime among participants in three randomized controlled trials of the Nurse-Family Partnership (NFP) in Denver, Colorado, Elmira, New York, and Memphis, Tennessee. Official records were obtained from third-party sources as well as directly from New York State Division of Criminal Justice Services. The collection contains 10 SAS data files: dmom_all.sas7bdat (n=735; 3 variables) dmom_control.sas7bdat (n=247; 26 variables) echild_all.sas7bdat (n=374; 4 variables) echild_control.sas7bdat (n=173; 22 variables) emom_all.sas7bdat (n=399; 4 variables) emom_control.sas7bdat (n=184; 17 variables) mchild_all.sas7bdat (n=708; 5 variables) mchild_control.sas7bdat (n=482; 46 variables) mmom_all.sas7bdat (n=742; 5 variables) mmom_control.sas7bdat (n=514; 25 variables) Demographic variables include race, ethnicity, highest grade completed, household income, marital status, housing density, maternal age, maternal education, husband/boyfriend education, and head of household employment status.

This data is a slice of the City of Denver's crime spreadsheet showing reported homicides in Denver, Colorado. Updated weekly.

Reported crimes in Denver published by the City of Denver and the Denver Police Department.

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).

This study focused on the effect of economic resources and racial/ethnic composition on the change in crime rates from 1970-2004 in United States cities in metropolitan areas that experienced a large growth in population after World War II. A total of 352 cities in the following United States metropolitan areas were selected for this study: Atlanta, Dallas, Denver, Houston, Las Vegas, Miami, Orange County, Orlando, Phoenix, Riverside, San Bernardino, San Diego, Silicon Valley (Santa Clara), and Tampa/St. Petersburg. Selection was based on the fact that these areas developed during a similar time period and followed comparable development trajectories. In particular, these 14 areas, known as the "boomburbs" for their dramatic, post-World War II population growth, all faced issues relating to the rapid growth of tract-style housing and the subsequent development of low density, urban sprawls. The study combined place-level data obtained from the United States Census with crime data from the Uniform Crime Reports for five categories of Type I crimes: aggravated assaults, robberies, murders, burglaries, and motor vehicle thefts. The dataset contains a total of 247 variables pertaining to crime, economic resources, and race/ethnic composition.

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 Jefferson County, CO (DISCONTINUED) (FBITC008059) from 2004 to 2021 about Jefferson County, CO; crime; violent crime; property crime; Denver; CO; and USA.

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

This dataset includes criminal offenses in the City and County of Denver for the previous five calendar years plus the current year to date. The data is based on the National Incident Based Reporting System (NIBRS) which includes all victims of person crimes and all crimes within an incident. The data is dynamic, which allows for additions, deletions and/or modifications at any time, resulting in more accurate information in the database. Due to continuous data entry, the number of records in subsequent extractions are subject to change. Crime data is updated Monday through Friday.The information provided here regarding public safety in Denver are offered as a courtesy by the City and County of Denver. By downloading this data, you acknowledge that you have read and understand the Disclaimer below and agree to be bound by it. Certain information is omitted, in accordance with legal requirements and as described more fully in this Disclaimer.All materials contained on this site are distributed and transmitted "as is," without any representation as to completeness or accuracy and without warranty or guarantee of any kind. The City and County of Denver is not responsible for any error or omission on this site or for the use or interpretation of the results of any research conducted here.

The Denver Youth Survey (DYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. The DYS is a longitudinal study of problem and successful behavior over the life course that focuses on delinquency, drug use, victimization, and mental health. The DYS is based on a probability sample of households in "high-risk" neighborhoods of Denver, Colorado. These neighborhoods were selected on the basis of their social ecology in terms of population and housing characteristics. Only socially disorganized neighborhoods with high official crime rates (top one-third) were included. The survey respondents include 1,528 children and youth who were 7, 9, 11, 13, or 15 years old in 1987, and one of their parents, who lived in one of the more than 20,000 randomly selected households. The survey respondents include 807 boys and 721 girls and include White (10 percent), Latino (45 percent), and African American (33 percent) youth, as well as 12 percent from other racial/ethnic backgrounds. The child and youth respondents, along with one caretaker, were interviewed annually from 1988 until 1992, and annually from 1995 until 1999. The age range covered by the study is from age 7 through age 26. The dataset contains 1,528 cases and 22,081 variables.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Adams County, CO (DISCONTINUED) (FBITC008001) from 2004 to 2021 about Adams County, CO; crime; violent crime; property crime; Denver; CO; and USA.

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 Gilpin County, CO (DISCONTINUED) (FBITC008047) from 2005 to 2021 about Gilpin 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.

Description

This dataset includes accidents in the City and County of Denver for the previous five calendar years plus the current year to date. The data is based on the National Incident Based Reporting System (NIBRS). The data is dynamic, which allows for additions, deletions and/or modifications at any time, resulting in more accurate information in the database. Due to continuous data entry, the number of records in subsequent extractions are subject to change. Accident data is updated Monday through Friday.

Disclaimer

The information provided here regarding public safety in Denver are offered as a courtesy by the City and County of Denver. By downloading this data, you acknowledge that you have read and understand the Disclaimer below and agree to be bound by it. Certain information is omitted, in accordance with legal requirements and as described more fully in this Disclaimer.

All materials contained on this site are distributed and transmitted "as is," without any representation as to completeness or accuracy and without warranty or guarantee of any kind. The City and County of Denver is not responsible for any error or omission on this site or for the use or interpretation of the results of any research conducted here.

About Accident Data

The Denver Police Department strives to make accident data as accurate as possible, but there is no avoiding the introduction of errors into this process, which relies on data furnished by many people and that cannot always be verified. Data on this site are updated Monday through Friday, adding new incidents and updating existing data with information gathered through the investigative process.

Not surprisingly, accident data become more accurate over time, as new crashes are reported and more information comes to light during investigations.

Accidents that occurred at least 30 days ago tend to be the most accurate, although records are returned for incidents that happened yesterday. This dynamic nature of accident data means that content provided here today will probably differ from content provided a week from now. Likewise, content provided on this site will probably differ somewhat from crime statistics published elsewhere by the City and County of Denver, even though they draw from the same database.

The Denver Police Department completes accident reports if there is $1,000 or greater in damage, an injury or fatality or drug/alcohol involvement. If the accident is classified as a counter report it is sent to the State without being entered into the database.

About Accident Locations

Accident locations reflect the approximate locations of the crash but are not mapped to actual location of the accident. Certain accidents may not appear on maps if there is insufficient detail to establish a specific, mappable location.

This data collection is the result of an evaluation of the NEPHU program, conducted by the Police Foundation under the sponsorship of the National Institute of Justice (NIJ). In August 1989, the Bureau of Justice Assistance supported a grant in Denver, Colorado, to establish a special Narcotics Enforcement in Public Housing Unit (NEPHU) within the Denver Police Department. The goal of the Denver NEPHU was to reduce the availability of narcotics in and around the city's public housing areas by increasing drug arrests. NEPHU's six full-time officers made investigations and gathered intelligence leading to on-street arrests and search warrants. The unit also operated a special telephone Drug Hotline and met regularly with tenant councils in the developments to improve community relations. The program worked in cooperation with the Denver Housing Authority and the uniformed patrol division of the Denver Police Department, which increased levels of uniformed patrols to maintain high visibility in the project areas to deter conventional crime. Using a panel design, survey interviews were conducted with residents in the Quigg Newton and Curtis Park public housing units, focusing on events that occurred during the past six months. Respondents were interviewed during three time periods to examine the onset and persistence of any apparent program effects. In December 1989, interviews were completed with residents in 521 households. In June 1990, 422 respondents were interviewed in Wave 2. Wave 3 was conducted in December 1990 and included 423 respondents. In all, 642 individuals were interviewed, 283 of whom were interviewed for all three waves. Because of the evaluation's design, the data can be analyzed to reveal individual-level changes for the 283 respondents who were interviewed on all three occasions, and the data can also be used to determine a cross-section representation of the residents by including the 359 "new" persons interviewed during the course of the evaluation. Information collected includes years and months lived in the development, assessments of changes in the neighborhood, whether the respondent planned to stay in the development, interactions among residents, awareness of anti-drug programs, ranking of various problems in the development, concerns and reports of being a victim of various crimes, perceived safety of the development, assessment of drug use and availability, assessment of police activity and visibility, and personal contacts with police. The unit of analysis is the individual.

The data for this collection were gathered from the 1970 and 1980 Censuses and the Uniform Crime Reports for 1970 through 1980. The unit of analysis in this data collection is cities. Included are population totals by age group and arrest data for selected crimes by age group for Atlanta, Georgia, Chicago, Illinois, Denver, Colorado, Knoxville, Tennessee, San Jose, California, Spokane, Washington, and Tucson, Arizona. Population data by sex and age for all cities are contained in Part 4. The 123 variables provide data by age categories ranging from age 5 to age 69. Part 1, the arrest file for Atlanta and Chicago, provides arrest data for 1970 to 1980 by sex and age, ranging from age 10 and under to age 65 and over. The arrest data for other cities span two data files. Part 2 includes arrest data by sex for ages 15 to 24 for the years 1970 to 1980. Part 3 provides arrest data for ages 25 to 65 and over for the years 1970, 1975, and 1980. Arrest data are collected for the following crimes: murder, forcible rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, other assaults, arson, forgery, fraud, embezzlement, stolen property, vandalism, weapons, prostitution, other sex offenses, opium abuse, marijuana abuse, gambling, family offenses, drunk driving, liquor law violations, drunkenness, disorderly conduct, vagrancy, and all other offenses combined.