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.

Crime incident reports are provided by Boston Police Department (BPD) to document the initial details surrounding an incident to which BPD officers respond. This is a dataset containing records from the new crime incident report system, which includes a reduced set of fields focused on capturing the type of incident as well as when and where it occurred. Records in the new system begin in June of 2015.

The Analyze Boston Data Exports posted now are the updated incident data from the Mark43 RMS Database which launched in September of 2019 and is complete through present with the exclusion of data that falls under MGL ch.41 s.98f. The 2019 data that was originally posted contained combined exports from the Intergraph RMS and the Mark43 RMS during 2019 but the Extract/Transfer/Load process was not updated during the transition.

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.

This study surveyed immigrant and non-immigrant populations residing in high Latino population communities in order to: Assess the nature and pattern of bias motivated victimization. Explore the co-occurrence of bias motivated victimization with other forms of victimization. Measure reporting and help-seeking behaviors of individuals who experience bias motivated victimization. Identify cultural factors which may contribute to the risk of bias victimization. Evaluate the effect of bias victimization on negative psychosocial outcomes relative to other forms of victimization. The study's sample was a community sample of 910 respondents which included male and female Latino adults across three metropolitan areas within the conterminous United States. These respondents completed the survey in one of two ways. One set of respondents completed the survey on a tablet with the help of the research team, while the other group self-administered the survey on their own mobile device. The method used to complete the survey was randomly selected. A third option (paper and pencil with an administrator) was initially included but was removed early in the survey's deployment. The survey was administered from May 2018 to March 2019 in the respondent's preferred language (English or Spanish). This collection contains 1,620 variables, and includes derived variables for several scales used in the questionnaire. Bias victimization measures considered both hate crimes (e.g. physical assault) and non-criminal bias events (e.g. racial slurs) and allowed the respondent to report multiple incidents, perpetrators, and types of bias victimization. The respondents were asked about their help-seeking and reporting behaviors for the experience of bias victimization they considered to be the most severe and the measures considered both formal (e.g. contacting the police) and informal (e.g. communicating with family) help-seeking behaviors. The victimization scale measured exposure to traumatic events (e.g. witnessing a murder) as well as experiences of victimization (e.g. physical assault). Acculturation and enculturation scales measured topics such as the respondent's use of Spanish and English and their consumption of media in both languages. The variables pertaining to acculturative stress considered factors such as feelings of social isolation, experiences of racism, and conflict with family members. The variables for mental health outcomes measured symptoms of anger, anxiety, depression, and disassociation.

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