DescriptionCrime incidents starting with those reported in 2016. The data provided is the latest available information and is updated regularly as statistics change. For access to comprehensive reports, kindly submit a public record request here.Note: Crimes that occurred before 2016 are included if the date reported was in 2016 or later.Disclaimer: The City strives to provide the highest-quality information on this platform. The content on this website is provided as a public service, on an ‘as is’ basis. The City makes no warranty, representation, or guarantee of any type as to the content, accuracy, timeliness, completeness, or fitness for any particular purpose or use of any public data provided on this portal; nor shall any such warranty be implied, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose. The City assumes no liability by making data available to the public or other departments.This dataset is featured in the following app(s):Cleveland Division of Police Crime DashboardCrime Incidents MapData GlossarySee the Attributes section below for details about each column in this dataset.Update FrequencyDaily around 8 AM ESTContactsCity of Cleveland, Division of Police

⚠️Due to the City's transition to a new Record Management System (RMS) , the Crime Incidents data, dashboards and maps on this site currently include records only through 11/18/25. Regular updates are paused to align and unify old and new data models. We aim to restore fully automated daily updates by the end of 2025.This transition does not impact Public Safety systems or operations. Data for the pause period (from 11/18/25 until integration completion) is still available upon request via the City’s public records portal. Thank you for your patience!Crime incidents starting with those reported in 2016. The data provided is the latest available information and is updated regularly as statistics change. For access to comprehensive reports, kindly submit a public record request here.Note: Crimes that occurred before 2016 are included if the date reported was in 2016 or later.Disclaimer: The City strives to provide the highest-quality information on this platform. The content on this website is provided as a public service, on an ‘as is’ basis. The City makes no warranty, representation, or guarantee of any type as to the content, accuracy, timeliness, completeness, or fitness for any particular purpose or use of any public data provided on this portal; nor shall any such warranty be implied, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose. The City assumes no liability by making data available to the public or other departments.This dataset is featured in the following app(s):Cleveland Division of Police Crime DashboardCrime Incidents MapData GlossarySee the Attributes section below for details about each column in this dataset.Update FrequencyDaily around 8 AM ESTContactsCity of Cleveland, Division of Police

⚠️Due to the City's transition to a new Record Management System (RMS) , the Crime Incidents data, dashboards and maps on this site currently include records only through 11/18/25. Regular updates are paused to align and unify old and new data models. We aim to restore fully automated daily updates by the end of 2025.This transition does not impact Public Safety systems or operations. Data for the pause period (from 11/18/25 until integration completion) is still available upon request via the City’s public records portal. Thank you for your patience!This mapping application visualizes crime incidents across the City of Cleveland. The data includes details on the type, location, and time of each reported crime, enabling users to analyze crime patterns and trends. The data provided is the latest available information and is updated regularly as statistics change. For access to comprehensive reports, kindly submit a public record request by clicking here. This application uses the following dataset(s):Cleveland Crime Incidents Update FrequencyDaily around 8AM EST ContactsCity of Cleveland Division of Police InstructionsBy default, the map loads with the previous 90 days incidents.Use the filters on the left side of the page to filter the data by date, City of Cleveland Ward, Cleveland Division of Police District, and/or crime type.Use the “Reset Filters” buttons under each filter to reset each filter individually.Use the ”Query" button in the lower right to select points currently on the map by drawing shapes and defining specific locations.Use the “Map Layers” button in the lower right to turn on and off the crime incidents layer, the Cleveland Division of Police Districts, and/or the City of Cleveland Wards.Use the “Tables” to view the data tables for the incidents that are map or queried.Click a point on the map to pop up individual information about the point(s) that were selected.Data from the map can be exported to CSV, JSON, and GeoJSON files directly from the tables which are accessed through the “Tables” button in the lower right corner of the map.

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

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

In 2023, around 3,640.56 violent crimes per 100,000 residents were reported in Oakland, California. This made Oakland the most dangerous city in the United States in that year. Four categories of violent crimes were used: murder and non-negligent manslaughter; forcible rape; robbery; and aggravated assault. Only cities with a population of at least 200,000 were considered.

The Urban Institute undertook a comprehensive assessment of communities approaching decay to provide public officials with strategies for identifying communities in the early stages of decay and intervening effectively to prevent continued deterioration and crime. Although community decline is a dynamic spiral downward in which the physical condition of the neighborhood, adherence to laws and conventional behavioral norms, and economic resources worsen, the question of whether decay fosters or signals increasing risk of crime, or crime fosters decay (as investors and residents flee as reactions to crime), or both, is not easily answered. Using specific indicators to identify future trends, predictor models for Washington, DC, and Cleveland were prepared, based on data available for each city. The models were designed to predict whether a census tract should be identified as at risk for very high crime and were tested using logistic regression. The classification of a tract as a "very high crime" tract was based on its crime rate compared to crime rates for other tracts in the same city. To control for differences in population and to facilitate cross-tract comparisons, counts of crime incidents and other events were converted to rates per 1,000 residents. Tracts with less than 100 residents were considered nonresidential or institutional and were deleted from the analysis. Washington, DC, variables include rates for arson and drug sales or possession, percentage of lots zoned for commercial use, percentage of housing occupied by owners, scale of family poverty, presence of public housing units for 1980, 1983, and 1988, and rates for aggravated assaults, auto thefts, burglaries, homicides, rapes, and robberies for 1980, 1983, 1988, and 1990. Cleveland variables include rates for auto thefts, burglaries, homicides, rapes, robberies, drug sales or possession, and delinquency filings in juvenile court, and scale of family poverty for 1980 through 1989. Rates for aggravated assaults are provided for 1986 through 1989 and rates for arson are provided for 1983 through 1988.

A number of studies have explored the relationship between public housing policy, poverty, and crime. This Commentary discusses the results of a recent study, which investigated the effects of closing large public housing developments on crime. To see if the demolitions—and the associated deconcentration of poverty—reduced crime or merely displaced it, researchers examined the case of Chicago. They found that closing large public housing developments and dispersing former residents throughout a wider portion of the city was associated with net reductions in violent crime, at the city level.

With approximately 122.1 crimes per 1,000 population, Cleveland, in North East England, had the highest crime rate of all the police force areas in England and Wales in 2024/25. High crime rates are evident in other areas of northern England, such as West Yorkshire and Greater Manchester at 114.5 and 108.2, respectively. In the UK capital, London, the crime rate was 105.5 per 1,000 people. The lowest crime rate in England was in the relatively rural areas of Wiltshire in South West England, as well as North Yorkshire. Overall crime in England and Wales The number of crimes in England and Wales reached approximately 6.74 million in 2022/23, falling slightly to 6.66 million in 2023/24, and 6.59 million in 2024/25. Overall crime has been rising steadily across England and Wales for almost a decade, even when adjusted for population rises. In 2022/23, for example, the crime rate in England and Wales was 93.6, the highest since 2006/07. When compared with the rest of the United Kingdom, England and Wales is something of an outlier, as crime rates for Scotland and Northern Ireland have not followed the same trajectory of rising crime. Additionally, there has been a sharp increase in violent crimes and sexual offences since the mid-2010s in England and Wales. While theft offences have generally been falling, the number of shoplifting offences reached a peak of 530,640 in 2024/25. Troubled justice system under pressure Alongside rising crime figures, many indicators also signal that the justice system is getting pushed to breaking point. The percentage of crimes that are solved in England and Wales was just 5.7 percent in 2023, with sexual offences having a clearance rate of just 3.6 percent. Crimes are also taking far longer than usual to pass through the justice system. In 2022, it took an average of 407 days for a crown court case to reach a conclusion from the time of the offence, compared with 233 days in 2018. This is most likely related to the large backlog of cases in crown courts, which reached over 67,750 in 2023. Furthermore, prisons in England and Wales are dangerously overcrowded, with the government even releasing some prisoners early to address the issue.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Cleveland County, OK (DISCONTINUED) (FBITC040027) from 2004 to 2021 about Cleveland County, OK; Oklahoma City; crime; violent crime; property crime; OK; and USA.

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

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

Abstract (en): This study investigated changes in the geographic concentration of drug crimes in Cleveland from 1990 to 2001. The study looked at both the locations of drug incidents and where drug offenders lived in order to explore factors that bring residents from one neighborhood into other neighborhoods to engage in drug-related activities. This study was based on data collected for the 224 census tracts in Cleveland, Ohio, in the 1990 decennial Census for the years 1990 to 1997 and 1999 to 2001. Data on drug crimes for 1990 to 1997 and 1999 to 2001 were obtained from Cleveland Police Department (CPD) arrest records and used to produce counts of the number of drug offenses that occurred in each tract in each year and the number of arrestees for drug offenses who lived in each tract. Other variables include counts and rates of other crimes committed in each census tract in each year, the social characteristics and housing conditions of each census tract, and net migration for each census tract. This study investigated changes in the geographic concentration of drug crimes in Cleveland from 1990 to 2001. The main objectives of the study were: (1) to identify neighborhoods in which drug crimes were concentrated and neighborhoods where persons arrested for drug crimes resided, (2) to describe changes in concentrations of drug offending over time, and (3) to explain changes in patterns of drug offending in relation to changes in the social and physical structure of neighborhoods. The study looked at both the locations of drug incidents and where drug offenders lived in order to explore factors that bring residents from one neighborhood into other neighborhoods to engage in drug-related activities. This study used data collected for the 224 census tracts in Cleveland, Ohio, in the 1990 decennial census for the years 1990 to 1997 and 1999 to 2001. All of the data other than the United States Census data and the drug crime data are available on-line from the Center on Urban Poverty and Social Change's community database, Cleveland Area Network for Data and Organizing (CAN DO). Data on drug crimes for 1990 to 1997 and 1999 to 2001 were obtained from Cleveland Police Department (CPD) arrest records. These records provided the address of the incident and the residential address of the person arrested. These addresses were geocoded into their 1990 census tracts, with a match rate of over 95 percent, to produce counts of the number of drug trafficking and possession incidents occurring within each tract in each year and the number of arrestees for drug trafficking and possession living in each tract. (Users should note that no geocoded data are included in this dataset.) In 1998 the CPD changed the way that drug crimes were recorded, and the accuracy with which types of drug crimes were reported was significantly reduced. As a result, while data on the total number of drug incidents in census tracts were available for the entire length of the study, data on whether these incidents involved drug trafficking or possession were only available for 1990 to 1997. CPD arrest records for non-drug crimes and Cuyahoga County Juvenile Court data were used to produce count and rate data on non-drug crimes for each census tract. Data on the social characteristics and housing conditions of each census tract were gathered from the 1990 and 2000 Censuses. Migration into and out of each tract between 1990 and 2000 was estimated using 1990 and 2000 Census population counts and Ohio Department of Health vital statistics data on births and deaths from 1990 to 2000. Data on the number of schools in each census tract were obtained from the Cleveland Municipal School District. Several sources of data were used to develop measures of the physical characteristics of areas. These included the Cuyahoga County Auditor's parcel-level data (from 1990 to 2000) on land-use patterns, characteristics of dwellings, tax delinquencies, and assessed value, and the Home Mortgage Disclosure Act data (for 1992 to 2001) on home purchase loans and home improvement loans. Variables include 1990 census tract number, year, the City of Cleveland Statistical Planning Area that each census tract belonged to, counts and rates of violent crimes, robberies, robberies with firearms, burglaries committed by adults in each census tract in each year, robberies and violent crimes committed by juveniles in each census tract in each year, number of drug trafficking and possession in...

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

Despite popular accounts that link public housing demolitions to spatial redistribution of crime and possible increases in crime, little systematic research has analyzed the neighborhood or citywide impact of demolitions on crime. In Chicago, which has conducted the largest public housing demolition program in the United States, I find that public housing demolitions are associated with a 10 percent to 20 percent reduction in murder, assault, and robbery in neighborhoods where the demolitions occurred. Furthermore, violent crime rates fell by about the same amount in neighborhoods that received the most displaced public-housing households relative to neighborhoods that received fewer displaced public-housing households, during the period when these developments were being demolished. This suggests violent crime was not simply displaced from the neighborhoods where demolitions occurred to neighborhoods that received the former public-housing residents. However, it is impossible to know what would have happened to violent crime in the receiving neighborhoods had the demolitions not occurred. Finally, using a panel of cities that demolished public housing, I find that the mean public-housing demolition is associated with a drop of about 3 percent in a city’s murder rate and about 2 percent in a city’s assault rate. I interpret these findings as evidence that while public-housing demolitions may push crime into other parts of a city, crime reductions in neighborhoods where public housing is demolished are larger than crime increases in other neighborhoods. A caveat is that while the citywide reduction in the assault rate appears to be permanent, the citywide reduction in the murder rate seems to last for only a few years.

This map-based dashboard provides the flight paths, duration, purpose and associated CAD (Computer Aided Dispatch) numbers of the Division of Police's Unmanned Aircraft System flights (UAS).Police drones, also called Unmanned Aircraft Systems or UAS, are small, remotely piloted aircraft equipped with cameras and sensors that the Cleveland Division of Police uses to enhance operations. They’re battery powered, controlled from the ground, and can transmit live video or data back to officers in real time.The aircrafts used by the Division's UAS team are Skydio X10 drones.Cleveland Divison of Police's UsesSearch and rescue – Locating missing persons in hard-to-reach or dangerous areas.Crime scene documentation – Creating aerial photographs, maps, or 3D models for investigations.Traffic crash reconstruction – Quickly mapping crash sites without blocking roads for long periods.Tactical operations – Assisting SWAT or crisis negotiators in hostage, barricade, or armed suspect situations.Disaster response – Surveying flood, fire, or storm damage to guide emergency response.Evidence gathering – Crime Scene videography and mapping.Police drones are mainly used as a fast, flexible option to give officers a safer, broader, and faster view of a situation without inconveniencing the public.The Skydio Cloud Transparency Dashboard lets the public see when, where, and why CDP UAS are flown, helping build trust through openness and accountability.Update FrequencyThe Cleveland Division of Police is committed to UAS (Unmanned Aircraft System) deployment that includes establishing and maintaining a publicly available map on the City of Cleveland website that shows the time, date and flight path of all UAS flights within 48 hours of each flight.InstructionsFlight purpose and date-range may be selected in the upper-right of the dashboard.To view the map of a flight path, select a flight from the table of flights at left.

Context

It will show how many crimes were reported by police by Community Safety Partnership area, England and Wales, in the year ending June 2021. However, new IT systems were put in place in July 2019 and Greater Manchester Police have not had access to data for the months of July 2019 to June 2021. Therefore, figures for Greater Manchester are not included in the totals. Caution must be taken when interpreting small numbers of offences.

Content

24 attributes; This shows the number of crimes recorded by police in under different offences and police area. Some of them are Total recorded crime (excluding fraud), Violence against the person, Homicide, Death or serious injury caused by illegal driving etc,.

43 observations; This shows the "Police Force Area name" such as Avon and Somerset, Bedfordshire, Cambridgeshire, Cheshire, City of London, Cleveland, Cumbria etc,.

Acknowledgements

Home Office - Police recorded crime

Inspiration

You should find out through exploratory data analysis that which regions are safest and which are not. Which offences are the lowest in which regions.

In the 2024/25 reporting year there were 3.4 sexual offences per 1,000 population in England and Wales, with Cleveland police force reporting the highest rate of 4.7 sexual crimes per 1,000 people.

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

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