In 2023, Texas had the highest number of forcible rape cases in the United States, with 15,097 reported rapes. Delaware had the lowest number of reported forcible rape cases at 194. Number vs. rate It is perhaps unsurprising that Texas and California reported the highest number of rapes, as these states have the highest population of states in the U.S. When looking at the rape rate, or the number of rapes per 100,000 of the population, a very different picture is painted: Alaska was the state with the highest rape rate in the country in 2023, with California ranking as 30th in the nation. The prevalence of rape Rape and sexual assault are notorious for being underreported crimes, which means that the prevalence of sex crimes is likely much higher than what is reported. Additionally, more than a third of women worry about being sexually assaulted, and most sexual assaults are perpetrated by someone the victim knew.
This is an Official Statistics bulletin produced by statisticians in the Ministry of Justice, Home Office and the Office for National Statistics. It brings together, for the first time, a range of official statistics from across the crime and criminal justice system, providing an overview of sexual offending in England and Wales. The report is structured to highlight: the victim experience; the police role in recording and detecting the crimes; how the various criminal justice agencies deal with an offender once identified; and the criminal histories of sex offenders.
Providing such an overview presents a number of challenges, not least that the available information comes from different sources that do not necessarily cover the same period, the same people (victims or offenders) or the same offences. This is explained further in the report.
Based on aggregated data from the ‘Crime Survey for England and Wales’ in 2009/10, 2010/11 and 2011/12, on average, 2.5 per cent of females and 0.4 per cent of males said that they had been a victim of a sexual offence (including attempts) in the previous 12 months. This represents around 473,000 adults being victims of sexual offences (around 404,000 females and 72,000 males) on average per year. These experiences span the full spectrum of sexual offences, ranging from the most serious offences of rape and sexual assault, to other sexual offences like indecent exposure and unwanted touching. The vast majority of incidents reported by respondents to the survey fell into the other sexual offences category.
It is estimated that 0.5 per cent of females report being a victim of the most serious offences of rape or sexual assault by penetration in the previous 12 months, equivalent to around 85,000 victims on average per year. Among males, less than 0.1 per cent (around 12,000) report being a victim of the same types of offences in the previous 12 months.
Around one in twenty females (aged 16 to 59) reported being a victim of a most serious sexual offence since the age of 16. Extending this to include other sexual offences such as sexual threats, unwanted touching or indecent exposure, this increased to one in five females reporting being a victim since the age of 16.
Around 90 per cent of victims of the most serious sexual offences in the previous year knew the perpetrator, compared with less than half for other sexual offences.
Females who had reported being victims of the most serious sexual offences in the last year were asked, regarding the most recent incident, whether or not they had reported the incident to the police. Only 15 per cent of victims of such offences said that they had done so. Frequently cited reasons for not reporting the crime were that it was ‘embarrassing’, they ‘didn’t think the police could do much to help’, that the incident was ‘too trivial or not worth reporting’, or that they saw it as a ‘private/family matter and not police business’
In 2011/12, the police recorded a total of 53,700 sexual offences across England and Wales. The most serious sexual offences of ‘rape’ (16,000 offences) and ‘sexual assault’ (22,100 offences) accounted for 71 per cent of sexual offences recorded by the police. This differs markedly from victims responding to the CSEW in 2011/12, the majority of whom were reporting being victims of other sexual offences outside the most serious category.
This reflects the fact that victims are more likely to report the most serious sexual offences to the police and, as such, the police and broader criminal justice system (CJS) tend to deal largely with the most serious end of the spectrum of sexual offending. The majority of the other sexual crimes recorded by the police related to ‘exposure or voyeurism’ (7,000) and ‘sexual activity with minors’ (5,800).
Trends in recorded crime statistics can be influenced by whether victims feel able to and decide to report such offences to the police, and by changes in police recording practices. For example, while there was a 17 per cent decrease in recorded sexual offences between 2005/06 and 2008/09, there was a seven per cent increase between 2008/09 and 2010/11. The latter increase may in part be due to greater encouragement by the police to victims to come forward and improvements in police recording, rather than an increase in the level of victimisation.
After the initial recording of a crime, the police may later decide that no crime took place as more details about the case emerge. In 2011/12, there were 4,155 offences initially recorded as sexual offences that the police later decided were not crimes. There are strict guidelines that set out circumstances under which a crime report may be ‘no crimed’. The ‘no-crime’ rate for sexual offences (7.2 per cent) compare
This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e
This dataset contains aggregate data on violent index victimizations at the quarter level of each year (i.e., January – March, April – June, July – September, October – December), from 2001 to the present (1991 to present for Homicides), with a focus on those related to gun violence. Index crimes are 10 crime types selected by the FBI (codes 1-4) for special focus due to their seriousness and frequency. This dataset includes only those index crimes that involve bodily harm or the threat of bodily harm and are reported to the Chicago Police Department (CPD). Each row is aggregated up to victimization type, age group, sex, race, and whether the victimization was domestic-related. Aggregating at the quarter level provides large enough blocks of incidents to protect anonymity while allowing the end user to observe inter-year and intra-year variation. Any row where there were fewer than three incidents during a given quarter has been deleted to help prevent re-identification of victims. For example, if there were three domestic criminal sexual assaults during January to March 2020, all victims associated with those incidents have been removed from this dataset. Human trafficking victimizations have been aggregated separately due to the extremely small number of victimizations.
This dataset includes a " GUNSHOT_INJURY_I " column to indicate whether the victimization involved a shooting, showing either Yes ("Y"), No ("N"), or Unknown ("UKNOWN.") For homicides, injury descriptions are available dating back to 1991, so the "shooting" column will read either "Y" or "N" to indicate whether the homicide was a fatal shooting or not. For non-fatal shootings, data is only available as of 2010. As a result, for any non-fatal shootings that occurred from 2010 to the present, the shooting column will read as “Y.” Non-fatal shooting victims will not be included in this dataset prior to 2010; they will be included in the authorized dataset, but with "UNKNOWN" in the shooting column.
The dataset is refreshed daily, but excludes the most recent complete day to allow CPD time to gather the best available information. Each time the dataset is refreshed, records can change as CPD learns more about each victimization, especially those victimizations that are most recent. The data on the Mayor's Office Violence Reduction Dashboard is updated daily with an approximately 48-hour lag. As cases are passed from the initial reporting officer to the investigating detectives, some recorded data about incidents and victimizations may change once additional information arises. Regularly updated datasets on the City's public portal may change to reflect new or corrected information.
How does this dataset classify victims?
The methodology by which this dataset classifies victims of violent crime differs by victimization type:
Homicide and non-fatal shooting victims: A victimization is considered a homicide victimization or non-fatal shooting victimization depending on its presence in CPD's homicide victims data table or its shooting victims data table. A victimization is considered a homicide only if it is present in CPD's homicide data table, while a victimization is considered a non-fatal shooting only if it is present in CPD's shooting data tables and absent from CPD's homicide data table.
To determine the IUCR code of homicide and non-fatal shooting victimizations, we defer to the incident IUCR code available in CPD's Crimes, 2001-present dataset (available on the City's open data portal). If the IUCR code in CPD's Crimes dataset is inconsistent with the homicide/non-fatal shooting categorization, we defer to CPD's Victims dataset.
For a criminal homicide, the only sensible IUCR codes are 0110 (first-degree murder) or 0130 (second-degree murder). For a non-fatal shooting, a sensible IUCR code must signify a criminal sexual assault, a robbery, or, most commonly, an aggravated battery. In rare instances, the IUCR code in CPD's Crimes and Victims dataset do not align with the homicide/non-fatal shooting categorization:
Other violent crime victims: For other violent crime types, we refer to the IUCR classification that exists in CPD's victim table, with only one exception:
Note: All businesses identified as victims in CPD data have been removed from this dataset.
Note: The definition of “homicide” (shooting or otherwise) does not include justifiable homicide or involuntary manslaughter. This dataset also excludes any cases that CPD considers to be “unfounded” or “noncriminal.”
Note: In some instances, the police department's raw incident-level data and victim-level data that were inputs into this dataset do not align on the type of crime that occurred. In those instances, this dataset attempts to correct mismatches between incident and victim specific crime types. When it is not possible to determine which victims are associated with the most recent crime determination, the dataset will show empty cells in the respective demographic fields (age, sex, race, etc.).
Note: The initial reporting officer usually asks victims to report demographic data. If victims are unable to recall, the reporting officer will use their best judgment. “Unknown” can be reported if it is truly unknown.
This dataset contains individual-level homicide and non-fatal shooting victimizations, including homicide data from 1991 to the present, and non-fatal shooting data from 2010 to the present (2010 is the earliest available year for shooting data). This dataset includes a "GUNSHOT_INJURY_I " column to indicate whether the victimization involved a shooting, showing either Yes ("Y"), No ("N"), or Unknown ("UKNOWN.") For homicides, injury descriptions are available dating back to 1991, so the "shooting" column will read either "Y" or "N" to indicate whether the homicide was a fatal shooting or not. For non-fatal shootings, data is only available as of 2010. As a result, for any non-fatal shootings that occurred from 2010 to the present, the shooting column will read as “Y.” Non-fatal shooting victims will not be included in this dataset prior to 2010; they will be included in the authorized-access dataset, but with "UNKNOWN" in the shooting column. Each row represents a single victimization, i.e., a unique event when an individual became the victim of a homicide or non-fatal shooting. Each row does not represent a unique victim—if someone is victimized multiple times there will be multiple rows for each of those distinct events. The dataset is refreshed daily, but excludes the most recent complete day to allow the Chicago Police Department (CPD) time to gather the best available information. Each time the dataset is refreshed, records can change as CPD learns more about each victimization, especially those victimizations that are most recent. The data on the Mayor's Office Violence Reduction Dashboard is updated daily with an approximately 48-hour lag. As cases are passed from the initial reporting officer to the investigating detectives, some recorded data about incidents and victimizations may change once additional information arises. Regularly updated datasets on the City's public portal may change to reflect new or corrected information. A version of this dataset with additional crime types is available by request. To make a request, please email dataportal@cityofchicago.org with the subject line: Violence Reduction Victims Access Request. Access will require an account on this site, which you may create at https://data.cityofchicago.org/signup. How does this dataset classify victims? The methodology by which this dataset classifies victims of violent crime differs by victimization type: Homicide and non-fatal shooting victims: A victimization is considered a homicide victimization or non-fatal shooting victimization depending on its presence in CPD's homicide victims data table or its shooting victims data table. A victimization is considered a homicide only if it is present in CPD's homicide data table, while a victimization is considered a non-fatal shooting only if it is present in CPD's shooting data tables and absent from CPD's homicide data table. To determine the IUCR code of homicide and non-fatal shooting victimizations, we defer to the incident IUCR code available in CPD's Crimes, 2001-present dataset (available on the City's open data portal). If the IUCR code in CPD's Crimes dataset is inconsistent with the homicide/non-fatal shooting categorization, we defer to CPD's Victims dataset. For a criminal homicide, the only sensible IUCR codes are 0110 (first-degree murder) or 0130 (second-degree murder). For a non-fatal shooting, a sensible IUCR code must signify a criminal sexual assault, a robbery, or, most commonly, an aggravated battery. In rare instances, the IUCR code in CPD's Crimes and Victims dataset do not align with the homicide/non-fatal shooting categorization: In instances where a homicide victimization does not correspond to an IUCR code 0110 or 0130, we set the IUCR code to "01XX" to indicate that the victimization was a homicide but we do not know whether it was a fi
This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2016). For additional details, please see the attached data dictionary in the ‘About’ section.
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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 ---
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The dataset contains year-, state-, type-of-crime- and gender-wise compiled data on the number of different types of crimes which were committed against children and the number of victims who were affected by the same crimes. The different types of crimes covered in the dataset include kidnapping and abduction crimes such as kidanapping and abduction for the purpose of murder, begging, ransom, compelling for marriage, procuration of minor girls, importation of girls from foreign countries, missing deemed as kidnapped, etc., fatal crimes such as murder, attempt to commit murder, muder with rape, abetment of suicide of child, infanticide, foeticide, trafficking and sexual crimes such buying and selling of minors for prostitution, use of children for pornography, transmiting sexual content and material involving children in sexually explicit acts, sexual assualt, penetrative sexual assault, rape, and other crimes such as child labour, child marriage, exposure, abandaonment, simple hurt, grievous hurt, insult and assualt of damage modesty, crimes under juvenile justice act and transplantation of organs act, etc.
The dataset also categorizes the above crimes by the pertinent legislations and their specific secitons against which the crimes have been committed against children.
Note: The rate of crimes in the dataset refers to number of crimes committed against Children by projected population of children in Lakhs
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License information was derived automatically
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 National Crime Victimization Survey (NCVS), previously called the National Crime Survey (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. Beginning in 1992, the survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual assault, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations. This dataset represents the concatenated version of the NCVS on a collection year basis for 1992-2018. A collection year contains records from interviews conducted in the 12 months of the given year. Under the collection year format, victimizations are counted in the year the interview is conducted, regardless of the year when the crime incident occurred. For additional information on the dataset, please see the documentation for the data from the most current year of the NCVS, ICPSR Study 37297.
This study was undertaken to investigate factors facilitating and hindering a victim's decision to report a sexual assault to the police. Further objectives were to use the findings to assist in the design of effective intervention methods by sexual assault treatment centers and community education projects, and to present significant findings useful for community policing and other criminal justice initiatives. Survey data for this study were collected from female victims of nonincestuous sexual assault incidents who were at least 14 years of age and sought treatment (within one year of being assaulted) from the Sex Abuse Treatment Center (SATC) in Honolulu, Hawaii, during 1987-1992. Data were collected on two types of victims: (1) immediate treatment seekers, who sought treatment within 72 hours of an assault incident, and (2) delayed treatment seekers, who sought treatment 72 hours or longer after an assault incident. Demographic variables for the victims include age at the time of the assault, marital status, employment status, educational level, and race and ethnicity. Other variables include where the attack took place, the victim's relationship to the assailant, the number of assailants, and whether the assailant(s) used threats, force, or a weapon, or injured or drugged the victim. Additional variables cover whether the victim attempted to get away, resisted physically, yelled, and/or reported the incident to the police, how the victim learned about the Sex Abuse Treatment Center, whether the victim was a tourist, in the military, or a resident of the island, the number of days between the assault and the interview, and a self-reported trauma Sexual Assault Symptom Scale measure.
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License information was derived automatically
DISCLAIMER In May of 2021 the department’s method of Uniform Crime Reporting (UCR) transitioned from the Summary Reporting System (SSR) to the federally mandated National Incident-Based Reporting System (NIBRS). When comparing SSR and NIBRS data, the user should be aware of the differences between the two reporting methodologies. This dataset reflects reported incidents of crime (with the exception of sexual assaults, which are excluded by statute) that occurred in the City of Hartford from January 1, 2005 to May 18, 2021. Should you have questions about this dataset, you may contact the Crime Analysis Division of the Hartford Police Department at 860.757.4020 or policechief@Hartford.gov. Disclaimer: These incidents are based on crimes verified by the Hartford Police Department's Crime Analysis Division. The crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Hartford Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Hartford Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. The Hartford Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Hartford or Hartford Police Department web page. The user specifically acknowledges that the Hartford Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Hartford Police Department", "Hartford Police", "HPD" or any colorable imitation of these words or the unauthorized use of the Hartford Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e
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License information was derived automatically
This dataset reflects reported incidents of crime (with the exception of sexual assaults, which are excluded by statute) that occurred in the City of Hartford from 2005 to the present, minus the most recent ten days. Data is extracted from the City of Hartford Police Department's CrimeView database on a daily basis. Should you have questions about this dataset, you may contact the Crime Analysis Division of the Hartford Police Department at 860.757.4020 or policechief@Hartford.gov. Disclaimer: These incidents are based on crimes verified by the Hartford Police Department's Crime Analysis Division. The crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Hartford Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Hartford Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate. The Hartford Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Hartford or Hartford Police Department web page. The user specifically acknowledges that the Hartford Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Hartford Police Department", "Hartford Police", "HPD" or any colorable imitation of these words or the unauthorized use of the Hartford Police Department logo is unlawful. This web page does not, in any way, authorize such use. The dataset contains more than 400,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Hartford Police Department - Uniform Crime Reporting (UCR) codes, select the about tab on the right side of this page and scroll down to the attachments and open the PDF document.
For the latest data tables see ‘Police recorded crime and outcomes open data tables’.
These historic data tables contain figures up to September 2024 for:
There are counting rules for recorded crime to help to ensure that crimes are recorded consistently and accurately.
These tables are designed to have many uses. The Home Office would like to hear from any users who have developed applications for these data tables and any suggestions for future releases. Please contact the Crime Analysis team at crimeandpolicestats@homeoffice.gov.uk.
This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e
The study on security and crime in Saxony 2022 - main dataset - was conducted by Infas Institute for Applied Social Science on behalf of the Saxon Institute for Police and Security Research (SIPS). In the survey period from 27.04.2022 to 02.08.2022, the Saxon resident population aged 16 and over was asked about fear of crime and its causes in online interviews (CAWI) and in writing (self-completed questionnaire: paper). In addition to complex measurements of the perception of safety (personal/social, affective/cognitive/conative), including the fear of extremism and political crime, the survey covered the experience of being a victim, trust in various institutions, political participation behavior, the Big Five personality dimensions, the socio-demographics of the respondents and many other variables. The respondents were selected by means of a multi-stage random sample from the registers of the residents´ registration offices of selected municipalities.
In order to enable small-scale analyses, a regional dataset is provided in addition to the main dataset. It contains coarsened socio-demographics and numerous regional macro variables (demographic and economic indicators, crime recorded by the police, density of clubs, etc.). The two data sets cannot be linked with each other. Further information can be found in the documentation of the study.
1. Residential area: Social cohesion in the residential area in terms of mutual help, trust, shared values and respect for law and order; feeling of safety at night and during the day in the residential area; assessment of various impairments of the residential area (salience: Litter lying around, bulky waste left without permission, graffiti, unkempt front gardens or green spaces, dog excrement on sidewalks and green spaces, vandalism, broken lighting on streets or in parks, discarded syringes or needles on streets and sidewalks); frequency of perception of these impairments in the last 12 months; assessment of social problems in the residential area (groups of young people standing or sitting around, homeless people or beggars, noise on the street, drug addicts or drug dealers, fights or (groups of young people standing or sitting around, homeless or beggars, noise on the street, drug addicts or drug dealers, fights or brawls, adult cyclists, inline skaters and roller skaters on sidewalks, loose and stray dogs, public urination, illegal parking); frequency of perception of these social problems in the last 12 months.
Crime in Saxony and own security (based on the last 12 months): Crime development in Saxony in general; assessment of this development; development of various crimes (theft, burglary, assault, murder, fraud outside the Internet, damage to property, sexual abuse, blackmail, stalking, sexual harassment, Internet crimes in general, insults, coercion and threats in social media, terrorist attacks, drug-related crime, crimes near the border with Poland or the Czech Republic, crimes against public officials or rescue workers, crimes against politicians); fear of crime with regard to the aforementioned offenses; assessment of the risk of becoming a victim of various offenses (e.g. assault, burglary in apartment or house, robbery, theft, etc.); avoidance behavior (avoid certain streets, squares and parks, avoid people who appear threatening, take detours, avoid walking alone in the dark, carry repellents with me, secure my home, avoid expressing political opinions at public events/on social media, avoid spreading political content on social media).
Politically motivated crime and extremism: Assessment of the threat to the democratic order in Germany posed by right-wing extremism, left-wing extremism and Islamic extremism; concerns about right-wing extremism, left-wing extremism and Islamic extremism in Germany; in each case in relation to the last 12 months: development of politically motivated crime in Germany and Saxony in the areas of right-wing extremism, left-wing extremism and Islamic extremism; assessment of the development of politically motivated crime in Germany and in Saxony in the aforementioned areas.
Experience of discrimination and crime (based on the last 12 months): Victims of discrimination based on various characteristics (religion, sexual orientation, gender or gender identity, disability or impairment, skin color, origin, age, political attitudes, social status, other characteristic, other characteristic open mention); victim experience in Saxony (attacked by a person without a weapon, attacked by a person with a weapon or several persons with or without a weapon, sexually harassed, sexually abused or raped, unwanted messages with sexual content, insulted on social media, internet offense, pain or physical harm on the internet or social media/ outside the internet or social media, robbery, pickpocketing without violence, theft without violence, burglary, stalking, damage to property, fraud outside the Internet, other,...
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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DISCLAIMER In May of 2021 the department’s method of Uniform Crime Reporting (UCR) transitioned from the Summary Reporting System (SSR) to the federally mandated National Incident-Based Reporting System (NIBRS). When comparing SSR and NIBRS data, the user should be aware of the differences between the two reporting methodologies. This dataset reflects reported incidents of crime (with the exception of sexual assaults, which are excluded by statute) that occurred in the City of Hartford from January 1, 2005 to May 18, 2021. Should you have questions about this dataset, you may contact the Crime Analysis Division of the Hartford Police Department at 860.757.4020 or policechief@Hartford.gov. Disclaimer: These incidents are based on crimes verified by the Hartford Police Department's Crime Analysis Division. The crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Hartford Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Hartford Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. The Hartford Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Hartford or Hartford Police Department web page. The user specifically acknowledges that the Hartford Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Hartford Police Department", "Hartford Police", "HPD" or any colorable imitation of these words or the unauthorized use of the Hartford Police Department logo is unlawful. This web page does not, in any way, authorize such use.
description: This is the City of Raleigh Police Incident Data from 2005-present. Each row represents a report made by the police officer, but not all reports may have resulted in arrests or convictions. This dataset updates the previous day's records daily by 11am. The locations provided with this dataset DO NOT reflect the exact locations where the incidents occurred. The locations provided represent a randomized location within the general neighborhood area where the incident was reported. To protect the privacy of victims and their families further, the Raleigh Police Department (RPD) has redacted all location information associated with incidents involving sexual assault, child abuse, juvenile incidents, domestic abuse and other related incidents. The column heading "LCR DESC" represents the description of Incident Type. The column heading "LCR" is the local code used by police to categorize the Incident Type Years covered: 2005 - present day. This data is collected and presented according to the Summary Uniform Crime Reporting (UCR) standard set by the FBI. Find out more about the standards here: https://ucr.fbi.gov/ucr-program-data-collections#National & detailed information about Summary UCR method here: https://ucr.fbi.gov/nibrs/summary-reporting-system-srs-user-manual; abstract: This is the City of Raleigh Police Incident Data from 2005-present. Each row represents a report made by the police officer, but not all reports may have resulted in arrests or convictions. This dataset updates the previous day's records daily by 11am. The locations provided with this dataset DO NOT reflect the exact locations where the incidents occurred. The locations provided represent a randomized location within the general neighborhood area where the incident was reported. To protect the privacy of victims and their families further, the Raleigh Police Department (RPD) has redacted all location information associated with incidents involving sexual assault, child abuse, juvenile incidents, domestic abuse and other related incidents. The column heading "LCR DESC" represents the description of Incident Type. The column heading "LCR" is the local code used by police to categorize the Incident Type Years covered: 2005 - present day. This data is collected and presented according to the Summary Uniform Crime Reporting (UCR) standard set by the FBI. Find out more about the standards here: https://ucr.fbi.gov/ucr-program-data-collections#National & detailed information about Summary UCR method here: https://ucr.fbi.gov/nibrs/summary-reporting-system-srs-user-manual
Description: Pursuant to the Sex Offender and Child Murderer Community Notification Law, 730 ILCS 152/101,et seq., the Chicago Police Department maintains a list of sex offenders residing in the City of Chicago who are required to register under the Sex Offender Registration Act, 730 ILCS 150/2, et seq. To protect the privacy of the individuals, addresses are shown at the block level only and specific locations are not identified. The data are extracted from the CLEAR (Citizen Law Enforcement Analysis and Reporting) system developed by the Department. Although every effort is made to keep this list accurate and current, the city cannot guarantee the accuracy of this information. Offenders may have moved and failed to notify the Chicago Police Department as required by law. If any information presented in this web site is known to be outdated, please contact the Chicago Police Department at srwbmstr@chicagopolice.org, or mail to Sex Registration Unit, 3510 S Michigan Ave, Chicago, IL 60653. Disclaimer: This registry is based upon the legislature's decision to facilitate access to publicly available information about persons convicted of specific sexual offenses. The Chicago Police Department has not considered or assessed the specific risk of re-offense with regard to any individual prior to his or her inclusion within this registry, and has made no determination that any individual included within the registry is currently dangerous. Individuals included within this registry are included solely by virtue of their conviction record and Illinois law. The main purpose of providing this data on the internet is to make the information more available and accessible, not to warn about any specific individual.
Anyone who uses information contained in the Sex Offender Database to commit a criminal act against another person is subject to criminal prosecution. Data Owner: Chicago Police Department. Frequency: Data is updated daily. Related Applications: CLEARMAP (http://j.mp/lLluSa).
In 2023, Texas had the highest number of forcible rape cases in the United States, with 15,097 reported rapes. Delaware had the lowest number of reported forcible rape cases at 194. Number vs. rate It is perhaps unsurprising that Texas and California reported the highest number of rapes, as these states have the highest population of states in the U.S. When looking at the rape rate, or the number of rapes per 100,000 of the population, a very different picture is painted: Alaska was the state with the highest rape rate in the country in 2023, with California ranking as 30th in the nation. The prevalence of rape Rape and sexual assault are notorious for being underreported crimes, which means that the prevalence of sex crimes is likely much higher than what is reported. Additionally, more than a third of women worry about being sexually assaulted, and most sexual assaults are perpetrated by someone the victim knew.