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.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for University of Massachusetts: Harbor Campus, Boston (University or College) in Massachusetts, including incidents, statistics, demographics, and detailed incident information.

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.

Is Boston Metro, MA Safe? The B grade means the rate of crime is slightly lower than the average US metro area. Boston Metro is in the 69th percentile for safety, meaning 31% of metro areas are safer and 69% of metro areas are more dangerous. This analysis applies to the Boston metro area's proper boundaries only. See the table on nearby places below for nearby metro areas.

The rate of crime in the Boston metro area is 19.92 per 1,000 residents during a standard year. People who live in the Boston metro area generally consider the southwest part of the metro area to be the safest.

Your chance of being a victim of crime in the Boston metro area may be as high as 1 in 32 in the central neighborhoods, or as low as 1 in 92 in the southwest part of the metro area. See the section on interpreting the crime map, however, because comparing rates for crime or any other crime is not as intuitive as it may seem. It can help us answer?

Type of crime vs locations where the crime took place? If there is any change in criminal activities in past years? Which location is safe and which is unsafe? Interestingly one can peek - DO MORE BROKEN WINDOWS MEAN MORE CRIME?

Here is the theory:

Researchers theorized that graffiti, abandoned buildings, panhandling, and other signs of disorder in neighborhoods create an environment that leads people to commit more crime.

In the “broken windows theory,” as it has come to be known, such characteristics convey the message that these places aren’t monitored and crime will go unpunished. The theory has led police to crack down on minor crimes with the idea that this will prevent more serious crimes, and inspired research on how disorder affects people’s health.

Inspiration Is the crime incident related to the area in Boston? Is there any relationship between the region and the types of crime? Is there any specific time during a week, a month or a year will infect the crime?

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Boston Police Department (City) in Massachusetts, including incidents, statistics, demographics, and detailed incident information.

Context-

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.

Content-

This dataset has 2,60,760 rows and 17 columns.

• INCIDENT_NUMBER:
• OFFENSE_CODE:
• OFFENSE_CODE_GROUP:
• OFFENSE_DESCRIPTION:
• DISTRICT:
• REPORTING_AREA:
• SHOOTING:
• OCCURRED_ON_DATE:
• YEAR:
• MONTH:
• DAY_OF_WEEK:
• HOUR:
• UCR_PART:
• STREET:
• LATITUDE:
• LONGITUDE:
• LOCATION:

Acknowledgements-

I would like to thank the Boston Police Department for making this dataset available to everyone.

Inspiration

1. How has crime changed over the years?
2. Is it possible to predict where or when a crime will be committed?
3. Which areas of the city have evolved over this time span?
4. In which area most crimes are committed?

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Boston University Police Department (University or College) in Massachusetts, including incidents, statistics, demographics, and detailed incident information.

Context

I am completely new to data science. As part of my learning exercises, I wanted to pick a data set that was fulsome, timely, at least somewhat relevant to my interests, etc. I am hoping this data set is that data set.

Content

This data set represents Boston Crime Incident Reports for the years beginning in 2015 through to the present. This is directly sourced from, and has been prepared by, the Boston Police Department. The original data set (which should be identical, as of the time of this writing, to what is contained in this data set) is available here.

Acknowledgements

Thank you to the Boston Police Department and the City of Boston for continuing to be on the forefront of civic transparency. It is just a small part of why I will always live here.

Inspiration

I realize that most of the information I think I 'believe' is, at best, informed by second-hand sources, which are themselves likely of questionable origin, potentially rife with bias, etc. I am hoping I can learn enough to be able to answer some of the hard questions.

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.

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.

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.

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 Uniform Crime Reports National Time-Series Data, 1967-1980, include detailed criminal offense and clearance information submitted monthly by over 3,000 consistently reporting law enforcement agencies in the United States. These data, provided in annually pooled cross-sections, were processed at the Center for Applied Social Research, Northeastern University, Boston, Massachusetts to produce easily accessible and highly reliable time-series data on officially reported crime. Originally provided by the Federal Bureau of Investigation (FBI), these data exclude Uniform Crime Report (UCR) data from infrequently reporting law enforcement agencies. In general, only those agencies that submitted ten or more monthly reports in every year during 1967 through 1980 are included in this collection. The data include detailed breakdowns of offenses and clearances taken from disaggregated UCR Return A tapes. Of particular interest are weapon-specific robbery and assault variables, types of rape, burglary, larceny, and motor vehicle theft, and clearances by arrest (or other exceptional means) of adults and juveniles for each offense sub-type. Both monthly and annual counts of these are available. Finally, as an aid to the user, each agency is identified by its FBI "ORI Code" as well as a sequential case number produced and documented by ICPSR in the codebook's appendix. Cases also may be identified by geographic region, state, SMSA, county, population size and group, and frequency of reporting.

This study sought to inform various issues related to the extent of victims' adverse psychological and behavioral reactions to aggravated assault differentiated by the offenders' bias or non-bias motives. The goals of the research included (1) identifying the individual and situational factors related to bias- and non-bias-motivated aggravated assault, (2) determining the comparative severity and duration of psychological after-effects attributed to the victimization experience, and (3) measuring the comparative extent of behavioral avoidance strategies of victims. Data were collected on all 560 cases from the Boston Police Department's Community Disorders Unit from 1992 to 1997 that involved victim of a bias-motivated aggravated assault. In addition, data were collected on a 10-percent stratified random sample of victims of non-bias assaults within the city of Boston from 1993 to 1997, resulting in another 544 cases. For each of the cases, information was collected from each police incident report. Additionally, the researchers attempted to contact each victim in the sample to participate in a survey about their victimization experiences. The victim questionnaires included questions in five general categories: (1) incident information, (2) police response, (3) prosecutor response, (4) personal impact of the crime, and (5) respondent's personal characteristics. Criminal history variables were also collected regarding the number and type of adult and juvenile arrest charges against offenders and victims, as well as dispositions and arraignment dates.

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.

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.

As of August 2025, California had the most mass shootings in the United States, with 26 total shootings since 1982. The source defines a mass shooting as a shooting where three or more people were killed. Recently, a mass shooting occurred in the state of Maine on October 26, 2023, during which one of the highest number of fatalities from a mass shooting was recorded after Robert Card opened fire in a bowling alley and a bar, killing 18 and injuring 13 others. Firearms in the U.S. Mass shootings in the United States are disturbingly common. In comparison with other Western countries, there are significantly more shootings in the U.S., which some theorize is due to the relatively lax gun control laws. Gun control laws in the U.S. are dependent on the state, and the right to own a firearm is enshrined in the United States Constitution. Mass shootings The worst mass shooting in the U.S. was the Las Vegas Strip massacre in 2017, which resulted in 58 deaths and 546 injuries. 13 of the worst mass shootings in the United States have occurred since 2015 and the vast majority of these incidents in the U.S. have been carried out by shooters who are White and male.

View arrest details and search by State Police division, date, location, type of offense, and more.

Context

I downloaded this data in order to use it with the Boston Crimes dataset.

Content

It's available the high, low, precipitation and snow information for each day. It has not been cleaned. Therefore, there may be some text inside a field. I used only the temperature columns, and interpolated any day that eventually was null.

Acknowledgements

I downloaded this from https://usclimatedata.com/climate/boston/massachusetts/united-states/usma0046. They have consolidated data from many datasets, such as The National Climatic Data Center from the NOAA. Thank you for your services! First stop on weather climate historical data for the USA.