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

This research involved the exploration of how the geographies of different crimes intersect with the geographies of social, economic, and demographic characteristics in Nashville, Tennessee, Portland, Oregon, and Tucson, Arizona. Violent crime data were collected from all three cities for the years 1998 through 2002. The data were geo-coded and then aggregated to block groups and census tracts. The data include variables on 28 different crimes, numerous demographic variables taken from the 2000 Census, and several land use variables.

Spreadsheet of Hate/Bias related incidents occurring over the specified period reported to the Tucson Police Department, containing offense type, location type, victim and suspect information, TPD division, Zip Code and City of Tucson Ward number for each incident. The specific location is not reported to protect the rights of victims. This dataset only includes incidents reported within the City limits where a hate/bias nexus was determined to be an element of the incident. Specific victim and address information are not reported to protect the rights of victims. Each Hate/Bias crime is an incident in our records management system and reported to the Arizona Department of Public Safety (AZ DPS) each quarter. Each of the data points was checked manually prior to publishing. PurposeQueried a report from our I-Leads database, and referenced with actual case reports and Special Investigations Section data to complete. This data set is public information.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

This dataset displays Tucson Police's reported crimes from January 2017 to the present. The data provided in this table can be accessed in dashboard form at https://policeanalysis.tucsonaz.gov. PurposeTo provide publicly available crime reporting data collected by Tucson Police Department.Dataset ClassificationLevel 0 – OpenKnown UsesNoneKnown ErrorsNo known errorsContactTucson Police DepartmentUpdate FrequencyMonthly

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Pima County, AZ (DISCONTINUED) (FBITC004019) from 2004 to 2021 about Pima County, AZ; Tucson; crime; violent crime; property crime; AZ; and USA.

2019 Crime Data from the City of Tucson in three categories: property crime, violent crime, and vice/disruptive crime with poverty data. Data is displayed both by individual incidents and in heat maps depicting density of incident reports. Percent of population in a census block group below the poverty line is shown for the City of Tucson. Data from the City of Tucson and the 2019 US Census Bureau American Community Survey.

This collection presents survey data from 12 cities in the United States regarding criminal victimization, perceptions of community safety, and satisfaction with local police. Participating cities included Chicago, IL, Kansas City, MO, Knoxville, TN, Los Angeles, CA, Madison, WI, New York, NY, San Diego, CA, Savannah, GA, Spokane, WA, Springfield, MA, Tucson, AZ, and Washington, DC. The survey used the current National Crime Victimization Survey (NCVS) questionnaire with a series of supplemental questions measuring the attitudes in each city. Respondents were asked about incidents that occurred within the past 12 months. Information on the following crimes was collected: violent crimes of rape, robbery, aggravated assault, and simple assault, personal crimes of theft, and household crimes of burglary, larceny, and motor vehicle theft. Part 1, Household-Level Data, covers the number of household respondents, their ages, type of housing, size of residence, number of telephone lines and numbers, and language spoken in the household. Part 2, Person-Level Data, includes information on respondents' sex, relationship to householder, age, marital status, education, race, time spent in the housing unit, personal crime and victimization experiences, perceptions of neighborhood crime, job and professional demographics, and experience and satisfaction with local police. Variables in Part 3, Incident-Level Data, concern the details of crimes in which the respondents were involved, and the police response to the crimes.

Context

This data set was selected to be used for my capstone project for the Google Data Analytics Certificate. It allowed me to showcase the skills I have developed throughout the courses leading up to the certificate.

Content

The dataset contains demographic, geographic, and crime-related information about individuals arrested by the Tucson Police Department in 2020. The data is in long format, with all of the observations in one column and each column representing a variable.

Acknowledgements

I would like to thank everyone who contributed to the creation of the dataset as well as those who made it open to the public. I would also like to thank the Google Data Analytics Certificate team for guiding me through the well-designed courses leading up to certification.

Inspiration

My hope was to gain insight that would lead to data-driven recommendations, which would be used to develop strategies for the design of a crime prevention program.

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.

Funded by the National Institute of Justice, this data collection represents Phase II of a larger project to evaluate pretrial release practices. The study focuses on four major topics: (1) release--rates and types of releases, defendant or case characteristics and their impact on the release decision, (2) court appearance --extent to which released defendants appear in court, factors associated with defendants' failure to appear in court, (3) pretrial criminality--number of rearrests during the pretrial period and the factors predicting rearrest, charges and rates of conviction for crimes committed during the pretrial period, and (4) impact of pretrial release programs--effect of programs on release decisions and on the behavior of defendants. The study is limited to adult defendants processed through state and local trial courts, and to pretrial release rather than pretrial intervention or diversion programs. Part 1 is an analysis of release practices and outcomes in eight jurisdictions (Baltimore City and Baltimore County, Maryland, Washington, DC, Dade County, Florida, Jefferson County, Kentucky, Pima County, Arizona, Santa Cruz County, California, and Santa Clara County, California). The pretrial release 'delivery systems,' that is, the major steps and individuals and organizations in the pretrial release process, were analyzed in each jurisdiction. Additionally, a sample of defendants from each site was studied from point of arrest to final case disposition and sentencing. Part 2 of this study examines the impact of the existence of pretrial release programs on release, court appearance, and pretrial release outcomes. An experimental design was used to compare a group of defendants who participated in a pretrial release program with a control group who did not. Experiments were conducted in Pima County (Tucson), Arizona, Baltimore City, Maryland, Lincoln, Nebraska, and Jefferson County (Beaumont-Port Arthur), Texas. In Tucson, separate experiments were conducted for felony and misdemeanor cases.