The United States had, by far, the highest homicide rate of the G7 countries between 2000 and 2023. In 2023, it reached 5.76 homicides per 100,000 inhabitants, a decrease from 6.78 in 2021. By comparison, Canada, the G7 nation with the second-highest homicide rate, had 1.98 homicides per 100,000 inhabitants in 2023. Out of each G7 nation, Japan had the lowest rate with 0.23 homicides per 100,000 inhabitants.

Note: Due to a system migration, this data will cease to update on March 14th, 2023. The current projection is to restart the updates on or around July 17th, 2023.Crime report data is provided for Louisville Metro Police Divisions only; crime data does not include smaller class cities.The data provided in this dataset is preliminary in nature and may have not been investigated by a detective at the time of download. The data is therefore subject to change after a complete investigation. This data represents only calls for police service where a police incident report was taken. Due to the variations in local laws and ordinances involving crimes across the nation, whether another agency utilizes Uniform Crime Report (UCR) or National Incident Based Reporting System (NIBRS) guidelines, and the results learned after an official investigation, comparisons should not be made between the statistics generated with this dataset to any other official police reports. Totals in the database may vary considerably from official totals following the investigation and final categorization of a crime. Therefore, the data should not be used for comparisons with Uniform Crime Report or other summary statistics.Data is broken out by year into separate CSV files. Note the file grouping by year is based on the crime's Date Reported (not the Date Occurred).Older cases found in the 2003 data are indicative of cold case research. Older cases are entered into the Police database system and tracked but dates and times of the original case are maintained.Data may also be viewed off-site in map form for just the last 6 months on Crimemapping.comData Dictionary:INCIDENT_NUMBER - the number associated with either the incident or used as reference to store the items in our evidence roomsDATE_REPORTED - the date the incident was reported to LMPDDATE_OCCURED - the date the incident actually occurredUOR_DESC - Uniform Offense Reporting code for the criminal act committedCRIME_TYPE - the crime type categoryNIBRS_CODE - the code that follows the guidelines of the National Incident Based Reporting System. For more details visit https://ucr.fbi.gov/nibrs/2011/resources/nibrs-offense-codes/viewUCR_HIERARCHY - hierarchy that follows the guidelines of the FBI Uniform Crime Reporting. For more details visit https://ucr.fbi.gov/ATT_COMP - Status indicating whether the incident was an attempted crime or a completed crime.LMPD_DIVISION - the LMPD division in which the incident actually occurredLMPD_BEAT - the LMPD beat in which the incident actually occurredPREMISE_TYPE - the type of location in which the incident occurred (e.g. Restaurant)BLOCK_ADDRESS - the location the incident occurredCITY - the city associated to the incident block locationZIP_CODE - the zip code associated to the incident block locationID - Unique identifier for internal databaseContact:Crime Information CenterCrimeInfoCenterDL@louisvilleky.gov

Number and rate (per 100,000 population) of homicide victims, Canada and Census Metropolitan Areas, 1981 to 2024.

Pueblo, Colorado, was the United States city that experienced the largest surge in its gun homicide rate in 2021, with an increase of 119 percent compared to the previous year. Pueblo was followed by the Texan city of Amarillo and its growth of 117 percent in the homicide rate, while Michigan's Lansing endured an increment of 112 percent.

Crime severity index (violent, non-violent, youth) and weighted clearance rates (violent, non-violent), Canada, provinces, territories and Census Metropolitan Areas, 1998 to 2024.

Data on crime rate and types of crimes committed in different cities of Spain and in the country on average within 2019 - 2021 years. The dataset covers 15 cities. Language: English.

This study combines elements of community policing and problem-oriented policing (POP) to examine the effect of a place-based policing strategy that emphasizes POP and patrol officer training in law enforcement officers (LEO)-youth interactions and youth crime prevention (POP for Youth[YPOP]) on crime outcomes and related community outcomes in 128 crime hotspots across three mid-Atlantic sites within the same county. Between July 2021 and November 2022, one third of the hotspots received traditional POP services, one third received POP for Youth treatment (POP with an emphasis on positive youth interactions), and the remaining third received regular patrol services for an intervention period of 13-16 months. The YPOP intervention was evaluated using multiple data sources, including reported intervention activities, official police data, and community surveys. The main objectives of this YPOP initiative were to: (1) Examine the impact of YPOP on crime; and (2) explore the impact of YPOP on young community member's perception of safety (victimization and fear of crime), perceptions of police and relations with the community, police legitimacy, and community collective efficacy in targeted areas.

🇺🇸 United States English Note: Due to a system migration, this data will cease to update on March 14th, 2023. The current projection is to restart the updates within 30 days of the system migration, on or around April 13th, 2023Crime report data is provided for Louisville Metro Police Divisions only; crime data does not include smaller class cities. The data provided in this dataset is preliminary in nature and may have not been investigated by a detective at the time of download. The data is therefore subject to change after a complete investigation. This data represents only calls for police service where a police incident report was taken. Due to the variations in local laws and ordinances involving crimes across the nation, whether another agency utilizes Uniform Crime Report (UCR) or National Incident Based Reporting System (NIBRS) guidelines, and the results learned after an official investigation, comparisons should not be made between the statistics generated with this dataset to any other official police reports. Totals in the database may vary considerably from official totals following the investigation and final categorization of a crime. Therefore, the data should not be used for comparisons with Uniform Crime Report or other summary statistics. Data is broken out by year into separate CSV files. Note the file grouping by year is based on the crime's Date Reported (not the Date Occurred). Older cases found in the 2003 data are indicative of cold case research. Older cases are entered into the Police database system and tracked but dates and times of the original case are maintained. Data may also be viewed off-site in map form for just the last 6 months on Crimemapping.com Data Dictionary: INCIDENT_NUMBER - the number associated with either the incident or used as reference to store the items in our evidence rooms DATE_REPORTED - the date the incident was reported to LMPD DATE_OCCURED - the date the incident actually occurred BADGE_ID - UOR_DESC - Uniform Offense Reporting code for the criminal act committed CRIME_TYPE - the crime type category NIBRS_CODE - the code that follows the guidelines of the National Incident Based Reporting System. For more details visit https://ucr.fbi.gov/nibrs/2011/resources/nibrs-offense-codes/view UCR_HIERARCHY - hierarchy that follows the guidelines of the FBI Uniform Crime Reporting. For more details visit https://ucr.fbi.gov/ ATT_COMP - Status indicating whether the incident was an attempted crime or a completed crime. LMPD_DIVISION - the LMPD division in which the incident actually occurred LMPD_BEAT - the LMPD beat in which the incident actually occurred PREMISE_TYPE - the type of location in which the incident occurred (e.g. Restaurant) BLOCK_ADDRESS - the location the incident occurred CITY - the city associated to the incident block location ZIP_CODE - the zip code associated to the incident block location

Content

This dataset contain official crime statistics from São Paulo state cities (Brazil) and were prepared based on information available on the Civil State Police statistics site: http://www.ssp.sp.gov.br/Estatistica/Pesquisa.aspx

• Period available:

  • Crime Monthly Occurrences and Policy productivity: 2001 - May, 2021 Note: in both datasets, decimal separator is a point (".") .

  • Crime rates (annual rates available): 1999 -2020 (available for some of the cities) Note: in this dataset, decimal separator is a comma (",") .

• Data and labels in brazilian portuguese.

• Information about crime type interpretation (available only in brazilian portuguese) in: http://www.ssp.sp.gov.br/Estatistica/download/manual.pdf

• Datasets prepared with Selenium (webscraping) and Pandas libraries in Python.

Author: Dalciana B. Waller https://github.com/DBWALLER

This study investigates the relationship between economic inequality and crime rates across 49 Indian cities from 2016 to 2021. Given the limited availability of traditional economic indicators at the city level in India, we introduce a novel methodological approach using nighttime lights collected by the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) satellites and its inequality as an alternative indicator for economic activity and economic inequality. Employing a dynamic panel data model, we demonstrate that inequality based on nighttime lights has a statistically significant positive impact on crime rates. Our findings reveal that a 1% increase in light-based inequality corresponds to a 0.5% increase in total crime rate. This relationship remains robust across multiple crime categories, including violent crime, minor property crime, and property crime. Furthermore, we observe that conviction rates have a significant negative impact on total crime rate, suggesting the deterrent effect of effective law enforcement. These results contribute to the growing literature on urban crime dynamics and offer insights on the use of remotely sensed nighttime lights for studying economic disparities in regions where conventional economic data may be limited.

For a comprehensive guide to this data and other UCR data, please see my book at ucrbook.comVersion 12 release notes:Adds 2021 data.Version 11 release notes:Adds 2020 data. Please note that the FBI has retired UCR data ending in 2020 data so this will be the last SHR data they release. Changes .rda file to .rds.Version 10 release notes:Changes release notes description, does not change data.Version 9 release notes:Adds 2019 data.Version 8 release notes:Adds 2018 data.Changes source of data for years 1985-2018 to be directly from the FBI. 2018 data was received via email from the FBI, 2016-2017 is from the FBI who mailed me a DVD, and 1985-2015 data is from the FBI's Crime Data Explorer site (https://crime-data-explorer.fr.cloud.gov/downloads-and-docs).Adds .csv version of the data.Makes minor changes to value labels for consistency and to fix grammar. Version 7 release notes:Changes project name to avoid confusing this data for the ones done by NACJD.Version 6 release notes:Adds 2017 data.Version 5 release notes:Adds 2016 data.Standardizes the "group" column which categorizes cities and counties by population.Arrange rows in descending order by year and ascending order by ORI. Version 4 release notes: Fix bug where Philadelphia Police Department had incorrect FIPS county code. Version 3 Release Notes:Merges data with LEAIC data to add FIPS codes, census codes, agency type variables, and ORI9 variable.Change column names for relationship variables from offender_n_relation_to_victim_1 to victim_1_relation_to_offender_n to better indicate that all relationship are victim 1's relationship to each offender. Reorder columns.This is a single file containing all data from the Supplementary Homicide Reports from 1976 to 2018. The Supplementary Homicide Report provides detailed information about the victim, offender, and circumstances of the murder. Details include victim and offender age, sex, race, ethnicity (Hispanic/not Hispanic), the weapon used, circumstances of the incident, and the number of both offenders and victims. Years 1976-1984 were downloaded from NACJD, while more recent years are from the FBI. All files came as ASCII+SPSS Setup files and were cleaned using R. The "cleaning" just means that column names were standardized (different years have slightly different spellings for many columns). Standardization of column names is necessary to stack multiple years together. Categorical variables (e.g. state) were also standardized (i.e. fix spelling errors, have terminology be the same across years). The following is the summary of the Supplementary Homicide Report copied from ICPSR's 2015 page for the data.The Uniform Crime Reporting Program Data: Supplementary Homicide Reports (SHR) provide detailed information on criminal homicides reported to the police. These homicides consist of murders; non-negligent killings also called non-negligent manslaughter; and justifiable homicides. UCR Program contributors compile and submit their crime data by one of two means: either directly to the FBI or through their State UCR Programs. State UCR Programs frequently impose mandatory reporting requirements which have been effective in increasing both the number of reporting agencies as well as the number and accuracy of each participating agency's reports. Each agency may be identified by its numeric state code, alpha-numeric agency ("ORI") code, jurisdiction population, and population group. In addition, each homicide incident is identified by month of occurrence and situation type, allowing flexibility in creating aggregations and subsets.

Context

This is crime data in Portland as provided by the city's open data portal, from 2015-2021.

Content

Data is broken out by neighborhood and date, with the various types of crimes committed.

Acknowledgements

Thanks to the city of Portland for making this data publicly accessible.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Towns County, GA was 53.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Towns County, GA reached a record high of 207.00000 in January of 2007 and a record low of 53.00000 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Towns County, GA - last updated from the United States Federal Reserve on November of 2025.

In 2024, there were a total of 2,532 shootings registered in Rio de Janeiro, Brazil. March was the month with the most shootings in each of the given years, except for 2024 - in that year, there were 254 occurrences, or about 10 percent of the year's total. The lowest number of shootings in the given period occurred in August 2023 when 153 cases were recorded. Police violence in Rio In 2022, the Supreme Court ordered the state government of Rio de Janeiro to come up with a plan to reduce police lethality, as the level of violence in police actions was deemed unacceptable, due to high numbers of casualties and human rights violations. The number of civilians killed as a result of police intervention more than quadrupled between 2013 and 2019, reaching a record number of 1,814 that year. Despite the decrease in comparison to 2019, every year from 2020 to 2022 saw more than 1,200 civilians being killed. Furthermore, it is deemed that there is structural racism in the actions of security forces. For instance, 80 percent of the deaths caused by police interventions in the state during 2023 were of people of color. Shootings and massacres in Rio Civil society and public institutions have made proposals to alleviate this situation. One of them is the ADPF 635 (Allegation of Violation of a Fundamental Precept), also known as ADPF Favelas Case, presented by the Brazilian Socialist Party, and whose preliminary approval took place in June 2020. The measure restricted unplanned police operations in the favelas during the pandemic. Despite its frequent violations, it showed evident results. Shootings fell from 7,368 in 2019 to less than 3,000 in 2024. Over one third of documented shootings in 2024 were due to police operations, while 288 were motivated by murder or attempted murder, the second most common reason. In March 2022, the government of Rio de Janeiro published a plan to reduce deaths during police operations. That year, the State of Rio de Janeiro recorded 92 fewer deaths than the previous year, and the number has fallen every year since.

In 2024, the number of crimes committed in Singapore for every 100,000 individuals was 1,255. This was a ten-year high, and mostly due to the increase in scams and cybercrimes cases. Low crime rates in Singapore Singapore has a reputation for being one of the safest cities in the world. Violent crime in Singapore is rare – as of 2021, such crimes accounted for nine per 100 thousand population. One reason for this could be the harsh penalties for offenders, as well as a strict ban on weapons for those not in law enforcement. Singapore still carries out capital punishment for crimes such as murder and the illegal possession of firearms carry the death penalty. Increase in commercial crime The most common type of crime committed in Singapore were commercial crimes, especially scams. As Singaporeans carry out more aspects of everyday life online, so too are criminals looking to take advantage of unsuspecting victims. In 2021, scams involving e-commerce transactions were the most common of such crimes. These typically involve the fraudulent sale of products on C2C commercial sites, which are harder to track. Such scams, however, usually involve smaller amounts of money, unlike investment scams. These involve targeting individuals and tricking them into wiring large sums of money for supposed financial investments. In 2021, individuals in Singapore who fell victim to such scams were cheated out of around 191 million Singapore dollars.

Police-reported hate crime, number of incidents and rate per 100,000 population, Census Metropolitan Areas and Canadian Forces Military Police, 2014 to 2024.

More states data on its Way .............................................

About Crimes in INDIA.

KOCHI: Crime in India, 2021, the latest report of the National Crime Records Bureau (NCRB) for the year 2020, shows Kerala has the highest charge-sheeting rate, at 92.5%, in the country for violent crimes. Kerala is followed by Gujarat (88.6%), West Bengal (88.3%) and Tamil Nadu (86.5%) in the category. Lakshadweep tops the list of UTs with100% charge sheeting in the category. The charge-sheeting rate is the percentage of cases charge sheeted by police out of the total number of cases disposed of in the year. In total IPC cases, Kerala has the second-highest charge-sheeting rate at 94.90% behind Gujarat (97.10%). Tamil Nadu is third in this list with 91.70%. Among metropolitan cities listed in the report, Kochi and Kozhikode are from Kerala, and the charge-sheeting rate in violent crimes Kochi has a rate of 92.1% and Kozhikode has 94.1%. Only Chennai has a better rate with 96.2%. In the case of total IPC cases, among metropolitan cities, Kochi has a charge-sheeting rate of 91.7 % and Kozhikode has 92.1%. In this category, the first three spots are Surat (96.7%), Coimbatore (96.6%) and Ahmedabad (96.3%). At the same time, the rate of cases in Kerala is very high in cases registered under the Protection of Children from Sexual Offences (Pocso) Act. Kerala’s crime rate in this category, i.e., the Crime Incidence per one lakh of population, is 23, way above the national average of 10.50. However, there is a mismatch in the data provided in the NCRB report and the data provided by state police on their website. As per the state police’s data, the number is even higher. When the NCRB report shows 2,209 child victims in 2,163 incidents registered under the Act, the data provided by the state police show a total of 3,019 cases under the Act in 2020. .........................

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates).Living in communities with high rates of violence and crime not only exposes residents to a greater personal risk of injury or death, but it can also render individuals more susceptible to many adverse health outcomes. People who are regularly exposed to violence and crime are more likely to suffer from chronic stress, depression, anxiety, and other mental health conditions. They are also less likely to be able to use their parks and neighborhoods for recreation and physical activity.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Just under eight thousand miscellaneous crime cases were reported in Singapore in 2021, marking a ten-year high in the number of such offenses recorded. Miscellaneous crimes in Singapore include offenses that would 'cause hurt by acts that endanger human life'. The city-state has a reputation for being one of the safest cities in the world and as of 2021, it ranks second in an index of the world's safest cities.

Decrease in physical and violent crimes in Singapore

Over previous years, Singapore saw the numbers of serious and violent property crime cases and theft-related crimes like shoplifting, robbery, and burglary, declining. In 2021, crime cases across the country had significantly declined compared to previous years. In 2021, there were almost *** thousand theft cases and *** property crime cases, which further declined to ** in 2022.

Increase in scams and digital crimes in Singapore

While physical and violent crime cases in 2021 declined in Singapore, digital crime cases grew significantly. On the one hand, technology has added value to the country’s economy. On the other hand, it had increased insecurities among Singaporeans as e-commerce scams and cybercrimes cases rose considerably over the years. In 2021, the rate of cybercrimes across the country was ** percent. In 2022, e-commerce scams surged from more than *** thousand to almost *** thousand.

This statistic shows the rate of homicides in Canada and the United States from 2000 to 2023. There were 6.3 homicides in the U.S. in 2022 and 2.27 homicides in Canada per 100,000 residents in 2022.