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.

Context

The City of Orlando hosts an Open Data Portal where municipal agencies may share data for public consumption.

Acknowledgements

The Orlando Police Department has provided this dataset, derived from their internal records management system.

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 ---

This dataset, provided by the Redding Police Department in response to a Public Records Act request, contains demographic information on victims of Part 1 violent and property crimes. The data is pulled from the department’s current records management system and covers the period from May 2, 2023, to the present. It was not possible to include data from the prior system, as the old system did not associate specific crimes with individual victims. Therefore, the dataset only includes information from the current system.

The spreadsheet, titled "Victim Part 1 Crime Demographics 2022-2023," includes details on victims involved in reported incidents of violent and property crimes. Each victim is assigned a unique identifier in the "SeqNo" column, with "0" representing the first victim in an incident, "1" the second victim, and so on. This structure ensures clear identification of victims in relation to the associated crime data.

The dataset is formatted in Excel and contains various fields that allow for demographic analysis of victims of major crimes within the Redding area during the specified period.

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.

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 **** 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 **** percent of children in the same age group were the victim of a violent crime.

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 ***** 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 ************ 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 ***** 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 **** 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 ** 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 ** percent.

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

This table contains figures on the number of recorded crimes and clarifications per month and per year. These are broken down by type of crime and by police unit. Attempts are also included in the recorded crimes. For some crimes (e.g. murder/homicide), this results in a much higher number than just the number of completed crimes.

Since July 2018, it is no longer possible to record multiple offences, which are related to each other (concurrence), in one registration. An example of this is a street robbery in which a firearm (gun possession) is used. If several offences occur in one registration, only the most serious offence was counted before July 2018.

As a result of this adjustment, a number of offences show an increase compared to 2018. This mainly concerns trespassing, special laws including money laundering, arms trafficking including possession of weapons, drug trafficking, violation of public order and other social integrity including insults. The increase was therefore mainly visible in the last 6 months of 2018. This adjustment has only a limited impact on the total number of crimes. For the whole of 2018, this causes an increase of approximately 1.0%.

Since 30 April 2020, it is possible to report WhatsApp fraud via the Internet (also known as friend-in-emergency fraud). This was immediately used extensively. In the months of May to December 2020, approximately 20,000 reports of WhatsApp fraud were made. WhatsApp fraud is registered under Horizontal fraud.

The increase in the clearing rate in the first 6 months of 2022 year is partly due to the decrease in online crime (crimes with relatively low clearing rate). Furthermore, there has been a system change whereby the old date of a number of registrations has been overwritten by a date in the first half of 2022. As a result, the clearing rate in the last months of the reporting period is temporarily somewhat higher.

Declarations concern registered crimes for which a Pv of declarations has been drawn up. Several reports can be made per crime.

Internet reporting can only be done for a selected number of offences and only if there is no detection indication.

A registered crime is considered to be cleared up as soon as a suspect is linked to it and it has been heard. A suspect doesn't have to confess. The fact that a reporter continues to classify him/her as a suspect after questioning means that, in the reporter's opinion, he/she was rightly classed as a suspect. The clarification rate is calculated by dividing the number of clarifications from a period by the number of recorded crimes from the same period. The clarifications can therefore relate to crimes from another period. This has been chosen because otherwise it will take a long time before the figures are final due to the lack of time (a registration can be clarified much later than a crime has been registered). As a result, the elucidation rates over recent periods would be too low.

For crimes with little detection indication (internet reports and/or offences where no physical contact has taken place), the clearing rate is lower than where physical contact has taken place (e.g. robberies and street robberies).

Data available from: 2012

Status of figures: The figures in this table are regularly updated. This may result in minor differences with previous publications. Updating the figures is necessary, for example, in order to retroactively incorporate the reclassification of municipalities or adjustment in the coding. Figures on declarations and internet declarations are updated after each quarter.

Changes as of 15 April 2024: Figures for the first quarter of 2024 have been added.

When will there be new figures? The figures for the second quarter of 2024 will be added on 15 July.

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.

This data set provides information on all Part 1 (Major Crimes) from October 2014 to Current. It is update monthly to show the current status of crime in the City of Jackson.

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

Crime reports for various years.

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

This map is an an old format. For a better user experience, we recommend using https://data.cityofchicago.org/d/ahwe-kpsy, instead.

Map of records from the Crimes - 2001 to Present dataset.

Please see the description section of the full dataset for further information about the data.

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.