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.

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.

The Boston Police Department’s Homicide Investigation Unit investigates all homicides occurring within Boston Police jurisdiction. According to FBI standards, the annual homicide clearance rate is calculated using the total number of new homicides in a calendar year, and the total number of homicides that are cleared that calendar year – regardless of the year the homicide occurred within. The reason for this is that homicide investigations can span multiple calendar years. In addition, incidents that happened in previous years can be ruled a homicide years later and added to the current year’s total.

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. Researchers compiled datasets on prison admissions and releases that would be comparable across places and geocoded and mapped those data onto crime rates across those same places. The data used were panel data. The data were quarterly or annual data, depending on the location, from a mix of urban (Boston, Newark and Trenton) and rural communities in New Jersey covering various years between 2000 and 2010. The crime, release, and admission data were individual level data that were then aggregated from the individual incident level to the census tract level by quarter (in Boston and Newark) or year (in Trenton). The analyses centered on the effects of rates of prison removals and returns on rates of crime in communities (defined as census tracts) in the cities of Boston, Massachusetts, Newark, New Jersey, and Trenton, New Jersey, and across rural municipalities in New Jersey. There are 4 Stata data files. The Boston data file has 6,862 cases, and 44 variables. The Newark data file has 1,440 cases, and 45 variables. The Trenton data file has 66 cases, and 32 variables. The New Jersey Rural data file has 1,170 cases, and 32 variables.

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.

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 a legacy crime incident report system, which includes multiple fields capturing when, where, and how the incident occurred, as well as who was involved. The records span from July 2012 to August of 2015.

Analysis of ‘Boston House Prices-Advanced Regression Techniques’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/fedesoriano/the-boston-houseprice-data on 13 February 2022.

--- Dataset description provided by original source is as follows ---

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Context

The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978.

Attribute Information

Input features in order: 1) CRIM: per capita crime rate by town 2) ZN: proportion of residential land zoned for lots over 25,000 sq.ft. 3) INDUS: proportion of non-retail business acres per town 4) CHAS: Charles River dummy variable (1 if tract bounds river; 0 otherwise) 5) NOX: nitric oxides concentration (parts per 10 million) [parts/10M] 6) RM: average number of rooms per dwelling 7) AGE: proportion of owner-occupied units built prior to 1940 8) DIS: weighted distances to five Boston employment centres 9) RAD: index of accessibility to radial highways 10) TAX: full-value property-tax rate per $10,000 [$/10k] 11) PTRATIO: pupil-teacher ratio by town 12) B: The result of the equation B=1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town 13) LSTAT: % lower status of the population

Output variable: 1) MEDV: Median value of owner-occupied homes in $1000's [k$]

Source

StatLib - Carnegie Mellon University

Relevant Papers

Harrison, David & Rubinfeld, Daniel. (1978). Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management. 5. 81-102. 10.1016/0095-0696(78)90006-2. LINK

Belsley, David A. & Kuh, Edwin. & Welsch, Roy E. (1980). Regression diagnostics: identifying influential data and sources of collinearity. New York: Wiley LINK

--- Original source retains full ownership of the source dataset ---

Crime incident reports are provided by Boston Police Department (BPD) to document the initial details surrounding an incident to which BPD officers respond. Data includes records created after January 1, 2018 and is updated once per day. Incidents appear in this list with a seven day lag period.

The Shootings dashboard contains information on shooting incidents where a victim was struck by a bullet, either fatally or non-fatally; that occurred in the City of Boston and fall under Boston Police Department jurisdiction. The dashboard does not contain records for self-inflicted gunshot wounds or shootings determined to be justifiable. Information on the incident, and the demographics of victims are included. This information is updated based on analysis conducted by the Boston Regional Intelligence Center under the Boston Police Department Bureau of Intelligence and Analysis. The data is for 2015 forward, with a 7 day rolling delay to allow for analysis and data entry to occur.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Rockingham County, NH (DISCONTINUED) (FBITC033015) from 2005 to 2019 about Rockingham County, NH; crime; violent crime; property crime; Boston; NH; and USA.

This data collection contains responses to victimization surveys that were administered as part of both the planning and evaluation stages of the Hartford Project, a crime opportunity reduction program implemented in a residential neighborhood in Hartford, Connecticut, in 1976. The Hartford Project was an experiment in how to reduce residential burglary and street robbery/purse snatching and the fear of those crimes. Funded through the Hartford Institute of Criminal and Social Justice, the project began in 1973. It was based on a new "environmental" approach to crime prevention: a comprehensive and integrative view addressing not only the relationship among citizens, police, and offenders, but also the effect of the physical environment on their attitudes and behavior. The surveys were administered by the Center for Survey Research at the University of Massachusetts at Boston. The Center collected Hartford resident survey data in five different years: 1973, 1975, 1976, 1977, and 1979. The 1973 survey provided basic data for problem analysis and planning. These data were updated twice: in 1975 to gather baseline data for the time of program implementation, and in the spring of 1976 with a survey of households in one targeted neighborhood of Hartford to provide data for the time of implementation of physical changes there. Program evaluation surveys were carried out in the spring of 1977 and two years later in 1979. The procedures for each survey were essentially identical each year in order to ensure comparability across time. The one exception was the 1976 sample, which was not independent of the one taken in 1975. In each survey except 1979, respondents reported on experiences during the preceding 12-month period. In 1979 the time reference was the past two years. The survey questions were very similar from year to year, with 1973 being the most unique. All surveys focused on victimization, fear, and perceived risk of being victims of the target crimes. Other questions explored perceptions of and attitudes toward police, neighborhood problems, and neighbors. The surveys also included questions on household and respondent characteristics.

The Boston Housing Dataset

The Boston Housing Dataset is a derived from information collected by the U.S. Census Service concerning housing in the area of Boston MA. The following describes the dataset columns: 1. CRIM- per capita crime rate by town 2. ZN- proportion of residential land zoned for lots over 25,000 sq.ft. 3. INDUS- proportion of non-retail business acres per town. 4. CHAS- Charles River dummy variable (1 if tract bounds river; 0 otherwise) 5. NOX- nitric oxides concentration (parts per 10 million) 6. RM- average number of rooms per dwelling 7. AGE- proportion of owner-occupied units built prior to 1940 8. DIS- weighted distances to five Boston employment centres 9. RAD- index of accessibility to radial highways 10. TAX- full-value property-tax rate per $10,000 11. PTRATIO- pupil-teacher ratio by town 12. B- 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town 13. LSTAT- % lower status of the population 14. MED- Median value of owner-occupied homes in **1000's

This collection evaluates the impact of a new foot patrol plan, implemented by the Boston Police Department, on incidents of crime and neighborhood disturbances. Part 1 contains information on service calls by types of criminal offenses such as murder, rape, aggravated assault, simple assault, robbery, larceny, burglary, and auto theft. It also contains data on types of community disturbances such as noisy party, gang, or minor disturbance and response priority of the incidents. Response priorities are classified according to a four-level scale: Priority 1: emergency calls including crimes in progress, high risk or personal injury, and medical emergencies, Priority 2: calls of intermediate urgency, Priority 3: calls not requiring immediate response, Priority 4: calls of undetermined priority. Parts 2 and 3 include information about patrol time used in each of the three daily shifts during the pre- and post-intervention periods. Part 4 presents information similar to Parts 2 and 3 but the data span a longer period of time--approximately seven years.

This dataset includes code and data reproducing the numerical results and figures included in the article "Pacifying problem places: How problem property interventions increase guardianship and reduce disorder and crime." Broadly, the data consist of Boston parcels joined with other administrative data such as crime, disorder, property ownership, and building permit activity.

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. Within the past fifteen years, policymakers across the country have increasingly supported criminal justice reforms designed to reduce the scope of mass incarceration in favor of less costly, more evidence-based approaches to preventing and responding to crime. One of the primary reform efforts is the Justice Reinvestment Initiative (JRI), a public-private partnership through which state governments work to diagnose the primary drivers of their state incarceration rates, reform their sentencing policies to send fewer nonviolent offenders to prison, and reinvest the saved money that used to go into prisons into alternatives to incarceration, instead. This mixed-methods study sought to assess public opinion about the justice reinvestment paradigm of reform and to determine whether exposure to racialized and race-neutral cues affects people's willingness to allocate money into criminal justice institutions versus community-based social services in order to reduce and prevent crime.

Data analyzed in the Palgrave Communications article, "Comparing apples to apples: an environmental criminology analysis of the effects of heat and rain on violent crimes in Boston."

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.