This dataset contains Crime and Safety data from the Cary Police Department.

This data is extracted by the Town of Cary's Police Department's RMS application. The police incidents will provide data on the Part I crimes of arson, motor vehicle thefts, larcenies, burglaries, aggravated assaults, robberies and homicides. Sexual assaults and crimes involving juveniles will not appear to help protect the identities of victims.

This dataset includes criminal offenses in the Town of Cary for the previous 10 calendar years plus the current year. The data is based on the National Incident Based Reporting System (NIBRS) which includes all victims of person crimes and all crimes within an incident. The data is dynamic, which allows for additions, deletions and/or modifications at any time, resulting in more accurate information in the database. Due to continuous data entry, the number of records in subsequent extractions are subject to change. Crime data is updated daily however, incidents may be up to three days old before they first appear.

About Crime Data

The Cary Police Department strives to make crime data as accurate as possible, but there is no avoiding the introduction of errors into this process, which relies on data furnished by many people and that cannot always be verified. Data on this site are updated daily, adding new incidents and updating existing data with information gathered through the investigative process.

This dynamic nature of crime data means that content provided here today will probably differ from content provided a week from now. Additional, content provided on this site may differ somewhat from crime statistics published elsewhere by other media outlets, even though they draw from the same database.

Withheld Data

In accordance with legal restrictions against identifying sexual assault and child abuse victims and juvenile perpetrators, victims, and witnesses of certain crimes, this site includes the following precautionary measures: (a) Addresses of sexual assaults are not included. (b) Child abuse cases, and other crimes which by their nature involve juveniles, or which the reports indicate involve juveniles as victims, suspects, or witnesses, are not reported at all.

Certain crimes that are under current investigation may be omitted from the results in avoid comprising the investigative process.

Incidents five days old or newer may not be included until the internal audit process has been completed.

This data is updated daily.

The Oakland Police Department provides crime data to the public through the City of Oakland’s Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.

The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.

In 2023, around 1.45 percent of persons between the ages of 12 and 17 years old in the United States experienced one or more violent victimizations. This was a decrease from the previous year, when 2.03 percent of children in the same age group were the victim of a violent crime.

Analysis of ‘Police Incidents’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/3c21a355-8ca1-401e-9ee4-4bec6979341d on 12 February 2022.

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

Explore Crime and Safety data from the Cary Police Department.

This data is extracted by the Town of Cary's Police Department's RMS application.

The police incidents will provide data on the Part I crimes of arson, motor vehicle thefts, larcenies, burglaries, aggravated assaults, robberies and homicides. Sexual assaults and crimes involving juveniles will not appear to help protect the identities of victims.

This dataset includes criminal offenses in the Town of Cary for the previous 10 calendar years plus the current year. The data is based on the National Incident Based Reporting System (NIBRS) which includes all victims of person crimes and all crimes within an incident. The data is dynamic, which allows for additions, deletions and/or modifications at any time, resulting in more accurate information in the database. Due to continuous data entry, the number of records in subsequent extractions are subject to change. Crime data is updated daily however, incidents may be up to three days old before they first appear.

About Crime Data

The Cary Police Department strives to make crime data as accurate as possible, but there is no avoiding the introduction of errors into this process, which relies on data furnished by many people and that cannot always be verified. Data on this site are updated daily, adding new incidents and updating existing data with information gathered through the investigative process.

This dynamic nature of crime data means that content provided here today will probably differ from content provided a week from now. Additional, content provided on this site may differ somewhat from crime statistics published elsewhere by other media outlets, even though they draw from the same database.

Withheld Data

In accordance with legal restrictions against identifying sexual assault and child abuse victims and juvenile perpetrators, victims, and witnesses of certain crimes, this site includes the following precautionary measures: (a) Addresses of sexual assaults are not included. (b) Child abuse cases, and other crimes which by their nature involve juveniles, or which the reports indicate involve juveniles as victims, suspects, or witnesses, are not reported at all.

Certain crimes that are under current investigation may be omitted from the results in avoid comprising the investigative process.

Incidents five days old or newer may not be included until the internal audit process has been completed.

This data is updated daily.

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

In 2021, around 9.7 percent of serious violent crime cases in the United States involved teenagers, an increase from the previous year, where 7.5 percent of serious violent crimes involved teenagers. The share of serious violent crimes involving children between 12 and 17 years old reached a peak in 1994, at 25.1 percent.

AUSTIN POLICE DEPARTMENT DATA DISCLAIMER Please read and understand the following information.

This dataset contains a record of incidents that the Austin Police Department responded to and wrote a report. Please note one incident may have several offenses associated with it, but this dataset only depicts the highest level offense of that incident. Data is from 2003 to present. This dataset is updated weekly. Understanding the following conditions will allow you to get the most out of the data provided. Due to the methodological differences in data collection, different data sources may produce different results. This database is updated weekly, and a similar or same search done on different dates can produce different results. Comparisons should not be made between numbers generated with this database to any other official police reports. Data provided represents only calls for police service where a report was written. Totals in the database may vary considerably from official totals following investigation and final categorization. Therefore, the data should not be used for comparisons with Uniform Crime Report statistics. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided. Pursuant to section 552.301 (c) of the Government Code, the City of Austin has designated certain addresses to receive requests for public information sent by electronic mail. For requests seeking public records held by the Austin Police Department, please submit by utilizing the following link: https://apd-austintx.govqa.us/WEBAPP/_rs/(S(0auyup1oiorznxkwim1a1vpj))/supporthome.aspx

Since 2016, the number of crimes per 100,000 inhabitants has been on a downward trend and was at its lowest in 2021, although this was likely due to the lockdowns caused by the COVID-19 pandemic. Since then, crime rates have risen again. In 2023, the police recorded roughly 7,000 criminal offenses per 100,000 inhabitants. Youth criminal suspects Since the number of crimes is increasing, so is the number of suspects. Concerningly, the number of juvenile suspects has seen a rather significant increase and is currently at its highest rate since 2016. Suspects who are considered in the juvenile category are aged 14 to 17 years old. In Germany, children under the age of 14 cannot be prosecuted and if they commit a crime, then social services usually step in to try and help. In general, punishments for those convicted are much more lenient as it is often considered that due to their age, they may not have been aware of the repercussions of their actions. For example, regardless of the crime committed, no child under the age of 18 can be tried as an adult. In contrast, in England and Wales, there were around 3,600 people aged between 15 and 20 in prison. Crimes solving rate With a higher crime rate, it is also important to consider how many crimes are solved. Once a crime is solved, the hope is that the victim can get some type of closure and answers, and also that the perpetrator faces justice for the crimes they committed. In 2023, the police solved around 3.47 million crimes in Germany and for the past three years, there has been a substantial increase in the number of crimes solved. Some cases are, of course, easier to solve than others. Crimes of arson and other fire-hazard-related crimes had a comparably low clearance rate at around 46 percent. In contrast, drug-related offenses were much more frequently solved. Even though 2023 saw the lowest clearance rate in 20 years, it was still at 91 percent.

In 2023, around 2,444 homicide victims in the United States were aged between 20 and 24 years old. A further 2,362 murder victims were between the ages of 30 and 34 years old. Most murder victims in the United States in 2023 were between the ages of 17 and 54 years old.

The Oakland Police Department provides crime data to the public through the City of Oakland’s Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.

The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.

The study was a comprehensive analysis of felonious killings of officers. The purposes of the study were (1) to analyze the nature and circumstances of incidents of felonious police killings and (2) to analyze trends in the numbers and rates of killings across different types of agencies and to explain these differences. For Part 1, Incident-Level Data, an incident-level database was created to capture all incidents involving the death of a police officer from 1983 through 1992. Data on officers and incidents were collected from the Law Enforcement Officers Killed and Assaulted (LEOKA) data collection as coded by the Uniform Crime Reporting (UCR) program. In addition to the UCR data, the Police Foundation also coded information from the LEOKA narratives that are not part of the computerized LEOKA database from the FBI. For Part 2, Agency-Level Data, the researchers created an agency-level database to research systematic differences among rates at which law enforcement officers had been feloniously killed from 1977 through 1992. The investigators focused on the 56 largest law enforcement agencies because of the availability of data for explanatory variables. Variables in Part 1 include year of killing, involvement of other officers, if the officer was killed with his/her own weapon, circumstances of the killing, location of fatal wounds, distance between officer and offender, if the victim was wearing body armor, if different officers were killed in the same incident, if the officer was in uniform, actions of the killer and of the officer at entry and final stage, if the killer was visible at first, if the officer thought the killer was a felon suspect, if the officer was shot at entry, and circumstances at anticipation, entry, and final stages. Demographic variables for Part 1 include victim's sex, age, race, type of assignment, rank, years of experience, agency, population group, and if the officer was working a security job. Part 2 contains variables describing the general municipal environment, such as whether the agency is located in the South, level of poverty according to a poverty index, population density, percent of population that was Hispanic or Black, and population aged 15-34 years old. Variables capturing the crime environment include the violent crime rate, property crime rate, and a gun-related crime index. Lastly, variables on the environment of the police agencies include violent and property crime arrests per 1,000 sworn officers, percentage of officers injured in assaults, and number of sworn officers.

In 2021, a total of 24 people aged 10 years and under were arrested for arson in the United States. For property crimes overall, 113,379 people between the ages of 26 and 30 years old were arrested in that year - the most out of any age group.

This table contains data on arrested suspects (aged 12 to 25) of crimes, broken down by type of crime, gender, age and ethnic group. This table shows the number of crime suspects per population group as the number of crime suspects per 10,000 persons of the selected population group. Personal data of persons who are not listed in the Municipal Personal Records Database (GBA) are often missing. These persons are included in the absolute figures, but not in the relative ones. Because the number of unique suspects per type of crime is presented per reporting year, the numbers of suspects per type of crime together add up to more than the total number of unique suspects. A person who has been registered or arrested more than once within a reporting year is counted only once in the total number of suspects. In addition, he is counted once for each crime he is suspected of in the relevant main group of crimes. Example: a suspect of 10 burglaries and 2 violent crimes is counted 1 time in Total Suspects, 1 time in Property Crimes and 1 time in Violent Crimes. In order to show how young people in the Netherlands are doing, the National Youth Monitor describes more than 70 topics in addition to this topic. The subjects are called indicators. Data on arrested suspects are available from 2000 to 2013. Status of the figures: The figures up to and including 2012 are final. The figures for 2013 are provisional. The source material is updated annually with new or improved data. Changes as of October 27, 2016: None, the table has been discontinued. When will new numbers come out? This table has been discontinued.

In 2022, around 443,990 persons ages 12 to 17 years old in the United States were victims of at least one violent crime. This was a significant increase from the previous year when there were only 193,960 children in the same age group who were the victim of a violent crime.

In 1980, the National Institute of Justice awarded a grant to the Cornell University College of Human Ecology for the establishment of the Center for the Study of Race, Crime, and Social Policy in Oakland, California. This center mounted a long-term research project that sought to explain the wide variation in crime statistics by race and ethnicity. Using information from eight ethnic communities in Oakland, California, representing working- and middle-class Black, White, Chinese, and Hispanic groups, as well as additional data from Oakland's justice systems and local organizations, the center conducted empirical research to describe the criminalization process and to explore the relationship between race and crime. The differences in observed patterns and levels of crime were analyzed in terms of: (1) the abilities of local ethnic communities to contribute to, resist, neutralize, or otherwise affect the criminalization of its members, (2) the impacts of criminal justice policies on ethnic communities and their members, and (3) the cumulative impacts of criminal justice agency decisions on the processing of individuals in the system. Administrative records data were gathered from two sources, the Alameda County Criminal Oriented Records Production System (CORPUS) (Part 1) and the Oakland District Attorney Legal Information System (DALITE) (Part 2). In addition to collecting administrative data, the researchers also surveyed residents (Part 3), police officers (Part 4), and public defenders and district attorneys (Part 5). The eight study areas included a middle- and low-income pair of census tracts for each of the four racial/ethnic groups: white, Black, Hispanic, and Asian. Part 1, Criminal Oriented Records Production System (CORPUS) Data, contains information on offenders' most serious felony and misdemeanor arrests, dispositions, offense codes, bail arrangements, fines, jail terms, and pleas for both current and prior arrests in Alameda County. Demographic variables include age, sex, race, and marital status. Variables in Part 2, District Attorney Legal Information System (DALITE) Data, include current and prior charges, days from offense to charge, disposition, and arrest, plea agreement conditions, final results from both municipal court and superior court, sentence outcomes, date and outcome of arraignment, disposition, and sentence, number and type of enhancements, numbers of convictions, mistrials, acquittals, insanity pleas, and dismissals, and factors that determined the prison term. For Part 3, Oakland Community Crime Survey Data, researchers interviewed 1,930 Oakland residents from eight communities. Information was gathered from community residents on the quality of schools, shopping, and transportation in their neighborhoods, the neighborhood's racial composition, neighborhood problems, such as noise, abandoned buildings, and drugs, level of crime in the neighborhood, chances of being victimized, how respondents would describe certain types of criminals in terms of age, race, education, and work history, community involvement, crime prevention measures, the performance of the police, judges, and attorneys, victimization experiences, and fear of certain types of crimes. Demographic variables include age, sex, race, and family status. For Part 4, Oakland Police Department Survey Data, Oakland County police officers were asked about why they joined the police force, how they perceived their role, aspects of a good and a bad police officer, why they believed crime was down, and how they would describe certain beats in terms of drug availability, crime rates, socioeconomic status, number of juveniles, potential for violence, residential versus commercial, and degree of danger. Officers were also asked about problems particular neighborhoods were experiencing, strategies for reducing crime, difficulties in doing police work well, and work conditions. Demographic variables include age, sex, race, marital status, level of education, and years on the force. In Part 5, Public Defender/District Attorney Survey Data, public defenders and district attorneys were queried regarding which offenses were increasing most rapidly in Oakland, and they were asked to rank certain offenses in terms of seriousness. Respondents were also asked about the public's influence on criminal justice agencies and on the performance of certain criminal justice agencies. Respondents were presented with a list of crimes and asked how typical these offenses were and what factors influenced their decisions about such cases (e.g., intent, motive, evidence, behavior, prior history, injury or loss, substance abuse, emotional trauma). Other variables measured how often and under what circumstances the public defender and client and the public defender and the district attorney agreed on the case, defendant characteristics in terms of who should not be put on the stand, the effects of Proposition 8, public defender and district attorney plea guidelines, attorney discretion, and advantageous and disadvantageous characteristics of a defendant. Demographic variables include age, sex, race, marital status, religion, years of experience, and area of responsibility.

Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).

Since 1930, the Federal Bureau of Investigation (FBI) has administered the Uniform Crime Reporting Program (UCR). The UCR was designed to provide nationally representative estimates of the level and change in level of crimes known to and recorded by the p

The Oakland Police Department provides crime data to the public through the City of Oakland’s Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.

The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.

Abstract copyright UK Data Service and data collection copyright owner.

This dataset comes out of a broader project on ethnicity, crime and justice in England 1700-1825 which is described below.
The aim of this part of the project was to use this data to explore the extent to which different ethnic groups were treated differently by the courts as well as to measure differences between groups in their involvement as accused.

Although modern criminological research has established that race and ethnicity have a deep impact on the workings of the criminal justice system, no substantial historical work has yet been on this subject. By analysing the impact of ethnicity on patterns of recorded crime and on decision-making at every point in the criminal justice system during the eighteenth and early nineteenth centuries, this project aims to provide this vital comparative perspective. It focuses primarily on London, with its growing black and Irish population, and asks the following questions - Were these ethnic groups over-represented among those accused of property crime, violent crime etc? And were they more likely to be found guilty and to receive harsher punishments? It also looks at the experiences of ethnic groups as prosecutors and victims. Was there, for example, more sympathy for black victims than for Irish ones, or was there a fairly systematic bias against almost all migrant groups? Were they subjected to particular types of ethnically motivated crimes? More generally, by looking both at patterns of decision-making, and at the language used when ethnic minorities appeared in court as prosecutors, victims or accused, the aim is to gain a deeper understanding of attitudes towards and discourses about race and ethnicity in this period.
Main Topics:

The dataset includes data about all the offenders awaiting Old Bailey trial in the period 1791-1805 as listed in the National Archives Home Office records HO26.1-11.
The particular dataset contains 10 fields of coded information including gender, age, place of birth, ethnicity, occupation, crime, verdict and punishment for 11927 accused - all of those for which information exists 1791-1805 (with one small exception explained in the notes).
This data is taken from the National Archives series HO 26. It covers the first 11 volumes of that series which have some missing volumes but cover the period Oct 1791-Dec 1805.