This map shows a comparable measure of crime in the United States. The crime index compares the average local crime level to that of the United States as a whole. An index of 100 is average. A crime index of 120 indicates that crime in that area is 20 percent above the national average.The crime data is provided by Applied Geographic Solutions, Inc. (AGS). AGS created models using the FBI Uniform Crime Report databases as the primary data source and using an initial range of about 65 socio-economic characteristics taken from the 2000 Census and AGS’ current year estimates. The crimes included in the models include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. The total crime index incorporates all crimes and provides a useful measure of the relative “overall” crime rate in an area. However, these are unweighted indexes, meaning that a murder is weighted no more heavily than a purse snatching in the computations. The geography depicts states, counties, Census tracts and Census block groups. An urban/rural "mask" layer helps you identify crime patterns in rural and urban settings. The Census tracts and block groups help identify neighborhood-level variation in the crime data.------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Marshall County, MN (DISCONTINUED) (FBITC027089) from 2005 to 2021 about Marshall County, MN; crime; violent crime; property crime; MN; and USA.

The major objective of this study was to examine how physical characteristics of commercial centers and demographic characteristics of residential areas contribute to crime and how these characteristics affect reactions to crime in mixed commercial-residential settings. Information on physical characteristics includes type of business, store hours, arrangement of buildings, and defensive modifications in the area. Demographic variables cover racial composition, average household size and income, and percent change of occupancy. The crime data describe six types of crime: robbery, burglary, assault, rape, personal theft, and shoplifting.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Douglas County, MN (DISCONTINUED) (FBITC027041) from 2005 to 2021 about Douglas County, MN; crime; violent crime; property crime; MN; and USA.

Field Descriptions Crime Dashboard Document - https://www.minneapolismn.gov/government/government-data/datasource/crime-dashboard/crime-dashboard-document/

The data set is refreshed on a daily basis by 9:30 AM. The website will reflect the last time the data set was updated and the total count of rows. The grid on the “Data” tab will display the up to date data. However, in certain situations there is a delay in the refresh of the downloadable data file. Sometimes the downloadable file does not reflect the updates to the data in the portal. After a delay (duration has been variable; up to 30 minutes), the file will be updated on the server and then downloads will include the updated data.

In February 2019, we updated the neighborhood assignment with regards to the new police record system.

The data set is refreshed on the third day of the month at 8:45 AM. The website will reflect the last time the data set was updated and the total count of rows. The grid on the “Data” tab will display the up to date data. However, in certain situations there is a delay in the refresh of the downloadable data file. Sometimes the downloadable file does not reflect the updates to the data in the portal. After a delay (duration has been variable; up to 30 minutes), the file will be updated on the server and then downloads will include the updated data.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Hennepin County, MN was 67.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Hennepin County, MN reached a record high of 239.00000 in January of 2004 and a record low of 64.00000 in January of 2019. 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 Hennepin County, MN - last updated from the United States Federal Reserve on July of 2025.

Dataset showing reported crime counts and rates by offense category for Anoka, Carver, Dakota, Hennepin, Ramsey, Scott, and Washington counties. Crime rates are calculated using Census estimates of each county's resident population.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Scott County, MN (DISCONTINUED) (FBITC027139) from 2004 to 2021 about Scott County, MN; crime; violent crime; property crime; Minneapolis; MN; and USA.

Recognizing that violence can be an intractable problem in many communities and that there are numerous approaches to both an immediate violence problem and the range of root causes behind violence, the National Institute of Justice funded an investigation into what factors underlie violence and efforts being implemented to address those factors and potentially reduce violence at the community level. In this mixed methods study, the RAND Corporation drew on data from key informant interviews, community surveys, administrative data, and geographic data to examine specific factors that contribute to violence, as well as a range of anti-violence efforts that have been used to address violence levels in two U.S. communities: the Bullseye area of Durham, North Carolina, and the Northside (North Minneapolis) neighborhood of Minneapolis, Minnesota. Specifically, the research project aimed to answer the following questions: What are community level factors that can contribute to persistent violence? What are the key factors in both cities that distinguish high violent crime areas compared to low violent crime areas? This collection contains final analytic datasets for Durham (DS1) and Minneapolis (DS2), violent crime rate data (DS3), community survey data for Durham (DS4) and Minneapolis (DS5), and multiple datasets containing community-level contextual factors from the American Community Survey (ACS) and geographical data from the U.S. Census Bureau (2009-2018) that were used to build the final analytic datasets (DS6-DS11). Qualitative data from key informant interviews and GIS data are not available for download at this time. Access to Durham and Minneapolis community survey data is restricted.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Wright County, MN (DISCONTINUED) (FBITC027171) from 2004 to 2021 about Wright County, MN; crime; violent crime; property crime; Minneapolis; MN; and USA.

In 2023, an estimated 1,21,467 violent crimes occurred in the United States. This is a decrease from the year before, when 1,256,671 violent crimes were reported. Violent crime in the United States The Federal Bureau of Investigation reported that violent crime fell nationwide in the period from 1990 to 2023. Violent crime was at a height of 1.93 million crimes in 1992, but has since reached a low of 1.15 million violent crimes in 2014. When conducting crime reporting, the FBI’s Uniform Crime Reporting Program considered murder, nonnegligent manslaughter, forcible rape, robbery and aggravated assault to be violent crimes, because they are offenses which involve force or threat of violence. In 2023, there were 19,252 reported murder and nonnegligent manslaughter cases in the United States. California ranked first on a list of U.S. states by number of murders, followed by Texas, and Florida.The greatest number of murders were committed by murderers of unknown relationship to their victim. “Girlfriend” was the fourth most common relationship of victim to offender in 2023, with a reported 568 partners murdering their girlfriends that year, while the sixth most common was “wife.” In addition, seven people were murdered by their employees and 12 people were murdered by their employers. The most used murder weapon in 2023 was the handgun, which was used in 7,1 murders that year. According to the FBI, firearms (of all types) were used in more than half of the nation’s murders. The total number of firearms manufactured in the U.S. annually has reached over 13 million units.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Washington County, MN (DISCONTINUED) (FBITC027163) from 2004 to 2021 about Washington County, MN; crime; violent crime; property crime; Minneapolis; MN; and USA.

These files contain analytical code and data in my attempt to disentangle the COVID-19 pandemic from the murder of George Floyd as a way to explain the rise in crime - most notably violent crime - in 2020. All original data sources are linked to in the RMarkdown file.

NOTE: this is a working file. I recognise the contentiousness of this area and will do my best to incorporate meaningful feedback regarding the appropriateness of my methods, language, and conclusions.

A leading sociological theory of crime is the "routine activities" approach (Cohen and Felson, 1979). The premise of this theory is that the rate of occurrence of crime is affected by the convergence in time and space of three elements: motivated offenders, suitable targets, and the absence of guardianship against crime. The purpose of this study was to provide empirical evidence for the routine activities theory by investigating criminal data on places. This study deviates from traditional criminology research by analyzing places instead of collectivities as units of spatial analysis. There are two phases to this study. The purpose of the first phase was to test whether crime occurs randomly in space or is concentrated in "hot spots". Telephone calls for police service made in 1985 and 1986 to the Minneapolis Police Department were analyzed for patterns and concentration of repeat calls and were statistically tested for randomness. For the second phase of the study, two field experiments were designed to test the effectiveness of a proactive police strategy called Repeat Complaint Address Policing (RECAP). Samples of residential and commercial addresses that generated the most concentrated and most frequent repeat calls were divided into groups of experimental and control addresses, resulting in matched pairs. The experimental addresses were then subjected to a more focused proactive policing. The purposes of the RECAP experimentation were to test the effectiveness of proactive police strategy, as measured through the reduction in the incidence of calls to the police and, in so doing, to provide empirical evidence on the routine activities theory. Variables in this collection include the number of calls for police service in both 1986 and 1987 to the control addresses for each experimental pair, the number of calls for police service in both 1986 and 1987 to the experimental addresses for each experimental pair, numerical differences between calls in 1987 and 1986 for both the control addresses and experimental addresses in each experimental pair, percentage difference between calls in 1987 and 1986 for both the control addresses and the experimental addresses in each experimental pair, and a variable that indicates whether the experimental pair was used in the experimental analysis. The unit of observation for the first phase of the study is the recorded telephone call to the Minneapolis Police Department for police service and assistance. The unit of analysis for the second phase is the matched pair of control and experimental addresses for both the residential and commercial address samples of the RECAP experiments.

Lac Qui Parle County, MN - Combined Violent and Property Crime Offenses Known to Law Enforcement in Lac qui Parle County, MN was 18.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Lac Qui Parle County, MN - Combined Violent and Property Crime Offenses Known to Law Enforcement in Lac qui Parle County, MN reached a record high of 52.00000 in January of 2006 and a record low of 11.00000 in January of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for Lac Qui Parle County, MN - Combined Violent and Property Crime Offenses Known to Law Enforcement in Lac qui Parle County, MN - last updated from the United States Federal Reserve on July of 2025.

This study is a secondary analysis of CRIME, FEAR, AND CONTROL IN NEIGHBORHOOD COMMERCIAL CENTERS: MINNEAPOLIS AND ST. PAUL, 1970-1982 (ICPSR 8167), which was designed to explore the relationship between small commercial centers and their surrounding neighborhoods. Some variables from the original study were recoded and new variables were created in order to examine the impact of community structure, crime, physical deterioration, and other signs of incivility on residents' and merchants' cognitive and emotional responses to disorder. This revised collection sought to measure separately the contextual and individual determinants of commitment to locale, informal social control, responses to crime, and fear of crime. Contextual determinants included housing, business, and neighborhood characteristics, as well as crime data on robbery, burglary, assault, rape, personal theft, and shoplifting and measures of pedestrian activity in the commercial centers. Individual variables were constructed from interviews with business leaders and surveys of residents to measure victimization, fear of crime, and attitudes toward businesses and neighborhoods. Part 1, Area Data, contains housing, neighborhood, and resident characteristics. Variables include the age and value of homes, types of businesses, amount of litter and graffiti, traffic patterns, demographics of residents such as race and marital status from the 1970 and 1980 Censuses, and crime data. Many of the variables are Z-scores. Part 2, Pedestrian Activity Data, describes pedestrians in the small commercial centers and their activities on the day of observation. Variables include primary activity, business establishment visited, and demographics such as age, sex, and race of the pedestrians. Part 3, Business Interview Data, includes employment, business, neighborhood, and attitudinal information. Variables include type of business, length of employment, number of employees, location, hours, operating costs, quality of neighborhood, transportation, crime, labor supply, views about police, experiences with victimization, fear of strangers, and security measures. Part 4, Resident Survey Data, includes measures of commitment to the neighborhood, fear of crime, attitudes toward local businesses, perceived neighborhood incivilities, and police contact. There are also demographic variables, such as sex, ethnicity, age, employment, education, and income.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Ramsey County, MN (DISCONTINUED) (FBITC027123) from 2004 to 2021 about Ramsey County, MN; crime; violent crime; property crime; Minneapolis; MN; and USA.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Big Stone County, MN was 30.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Big Stone County, MN reached a record high of 74.00000 in January of 2005 and a record low of 14.00000 in January of 2019. 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 Big Stone County, MN - last updated from the United States Federal Reserve on July of 2025.

Mongolia MN: Intentional Homicides: Male: per 100,000 Male data was reported at 8.818 Ratio in 2016. This records a decrease from the previous number of 9.566 Ratio for 2015. Mongolia MN: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 11.529 Ratio from Dec 2007 (Median) to 2016, with 10 observations. The data reached an all-time high of 17.627 Ratio in 2007 and a record low of 8.818 Ratio in 2016. Mongolia MN: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mongolia – Table MN.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;