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TwitterNumber, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.
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TwitterSadly, the trend of fatal police shootings in the United States seems to only be increasing, with a total 1,173 civilians having been shot, 248 of whom were Black, as of December 2024. In 2023, there were 1,164 fatal police shootings. Additionally, the rate of fatal police shootings among Black Americans was much higher than that for any other ethnicity, standing at 6.1 fatal shootings per million of the population per year between 2015 and 2024. Police brutality in the U.S. In recent years, particularly since the fatal shooting of Michael Brown in Ferguson, Missouri in 2014, police brutality has become a hot button issue in the United States. The number of homicides committed by police in the United States is often compared to those in countries such as England, where the number is significantly lower. Black Lives Matter The Black Lives Matter Movement, formed in 2013, has been a vocal part of the movement against police brutality in the U.S. by organizing “die-ins”, marches, and demonstrations in response to the killings of black men and women by police. While Black Lives Matter has become a controversial movement within the U.S., it has brought more attention to the number and frequency of police shootings of civilians.
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TwitterVictims of gang-related homicides (total number of homicide victims; number of homicide victims - unknown gang-relation; number of homicide victims - known gang relation; number of gang-related homicide victims; percentage of gang-related homicide victims; rate (per 100,000 population) of gang-related homicide victims), Canada and regions, 1999 to 2024.
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This dataset contains different collected datasets with crime data of many large cities. Below are the descriptions for each seperate dataset. Note: Dataset properties and column may differ from each other since the information was collected by the local police in different styles and situations.
The Los Angeles dataset has the collected data on different crimes that happened in Los Angeles from 2000 up until May 2024. The columns are as follows:
DR_NO - Division of Records Number: Official file number made up of a 2 digit year, area ID, and 5 digits
Date Rptd - The date when the police found out about the crime
Date OCC - The actual date of the crime
Time OCC - In military time
Area - The LAPD has 21 Community Police Stations referred to as Geographic Areas within the department. These Geographic Areas are sequentially numbered from 1-21.
Area Name - The 21 Geographic Areas or Patrol Divisions are also given a name designation that references a landmark or the surrounding community that it is responsible for. For example 77th Street Division is located at the intersection of South Broadway and 77th Street, serving neighborhoods in South Los Angeles.
Rpt Dist No - A four-digit code that represents a sub-area within a Geographic Area. All crime records reference the "RD" that it occurred in for statistical comparisons. Find LAPD Reporting Districts on the LA City GeoHub at http://geohub.lacity.org/datasets/c4f83909b81d4786aa8ba8a74a4b4db1_4
Crm Cd - Indicates the crime committed. (Same as Crime Code 1)
Crm Cd Desc - Defines the Crime Code provided.
Mocodes - Modus Operandi: Activities associated with the suspect in commission of the crime.
Vict Age - The age of the victim
Vict Sex - The gender of the victim. They are as follows:
Vict Descent - Descent Code:
Premis Cd - The type of structure, vehicle, or location where the crime took place.
Premis Desc - Defines the Premise Code provided.
Weapon Used Cd - The type of weapon used in the crime.
Status - Status of the case. (IC is the default)
Status Desc - Defines the Status Code provided.
Crm Cd 1 - Indicates the crime committed. Crime Code 1 is the primary and most serious one. Crime Code 2, 3, and 4 are respectively less serious offenses. Lower crime class numbers are more serious.
Crm Cd 2 - May contain a code for an additional crime, less serious than Crime Code 1.
Crm Cd 3 - May contain a code for an additional crime, less serious than Crime Code 1.
Crm Cd 4 - May contain a code for an additional crime, less serious than Crime Code 1.
Location - Street address of crime incident rounded to the nearest hundred block to maintain anonymity.
Cross Street - Cross Street of rounded Address
LAT - Latitude
LON - Longitude
This dataset has 28 columns and 944K rows. I hope you will find it useful. God bless you
This dataset contains crime data on Chicago, from 2001 to present. The columns are as follows:
ID - Unique Identifier for the record
Case Number - The Chicago Police Department RD Number (Records Division Number), which is unique to the incident.
Date - Date when the incident occurred. this is sometimes a best estimate.
Block - The partially redacted address where the incident occurred, placing it on the same block as the actual address.
IUCR - The Illinois Unifrom Crime Reporting code. This is directly linked to the Primary Type and Description. See the list of IUCR codes at https://data.cityofchicago.org/d/c7ck-438e..
Primary Type - The primary description of the IUCR code.
Description - The secondary description of the IUCR code, a subcategory of the primary description.
Location Description - Description of the location where the incident occurred.
Arrest - Indicates whether an arrest was made.
Domestic - Indicates whether the incident was domestic-related as defined by the Illinois Domestic Violence Act.
Beat - Indicates the beat where the incident occurred. A beat is the smallest police geographic area – each beat has a dedicated police beat car. Three to five beats make up a police sector, and three sectors make up a police district. The Chicago Police Department has 22 police districts. See the beats at https://data.cityofchicago.org/d/aerh-rz74.
Distric...
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TwitterPolice-reported hate crime, by type of motivation (race or ethnicity, religion, sexual orientation, language, disability, sex, age), selected regions and Canada (selected police services), 2014 to 2024.
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License information was derived automatically
Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).
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📌 Updated: February 7, 2025
This dataset contains reported crime incidents in the City of Los Angeles from 2020 to the present, provided by the Los Angeles Police Department (LAPD). It includes key details such as crime type, location (anonymized), and date. The dataset is derived from official LAPD records and is regularly updated.
⚠️ Note: LAPD transitioned to a new Records Management System (RMS) on March 7, 2024, to comply with the FBI’s NIBRS (National Incident-Based Reporting System). During this transition, some crime data may still reflect the older system.
✔ Crime Incidents: Reported cases from 2020 onwards ✔ Location Details: Anonymized to the nearest hundred block ✔ Reporting System: Transition to FBI's NIBRS compliance ✔ Data Accuracy: Transcribed from original LAPD reports
🔹 Temporary Reporting Delays – LAPD is experiencing technical issues affecting data updates. Until resolved, updates will be bi-weekly instead of weekly. 🔹 Data Limitations – Some missing location fields are recorded as (0°, 0°) due to privacy constraints. 🔹 Possible Inaccuracies – Crime reports are transcribed manually, leading to potential data errors.
✅ Crime trend analysis over time ✅ Crime hotspot detection & mapping ✅ Law enforcement and policy research ✅ Machine learning applications (predictive modeling)
DR_NO: Unique crime report number assigned by LAPD. Date Rptd: Date when the crime was reported to the LAPD (MM/DD/YYYY HH:MM:SS AM/PM). DATE OCC: Date when the crime occurred (MM/DD/YYYY HH:MM:SS AM/PM). TIME OCC: Time when the crime occurred, in 24-hour format (e.g., 2130 = 9:30 PM). AREA: Numerical code representing the LAPD division where the crime occurred. AREA NAME: Name of the LAPD division (e.g., Wilshire, Central, Southwest, etc.). Rpt Dist No: Reporting district number used internally by LAPD. Part 1-2: Crime category: 1 = Serious (violent/property crimes), 2 = Less serious crimes. Crm Cd: Crime classification code assigned by LAPD. Crm Cd Desc: Description of the crime, such as "Vehicle - Stolen" or "Burglary from Vehicle". Mocodes: Modus Operandi (MO) codes, which indicate methods used by criminals. Vict Age: Age of the victim (0 may indicate missing data). Vict Sex: Gender of the victim (M = Male, F = Female, X = Unknown). Vict Descent: Ethnicity of the victim, encoded as: W (White), B (Black), H (Hispanic), A (Asian), O (Other), etc. Premis Cd: Numerical code representing the type of location where the crime occurred. Premis Desc: Description of the location, such as "Street," "Bus Stop," "Apartment," etc. Weapon Used Cd: Weapon code, if a weapon was used in the crime (NaN if no weapon was involved). Weapon Desc: Description of the weapon (e.g., "Handgun", "Knife", "None"). Status: Case status, such as IC (Investigation Continued) or AA (Adult Arrest). Status Desc: Description of the case status, e.g., "Investigation Continued" or "Adult Arrest". Crm Cd 1 - Crm Cd 4: Additional crime codes, if multiple offenses occurred in the same incident. LOCATION: Nearest street address where the crime occurred. Cross Street: Cross street (if available) for additional location context. LAT Latitude: of the crime location. LON Longitude: of the crime location.
Source: Los Angeles Police Department (LAPD) Terms of Use: This dataset follows specific non-federal licensing rules different from Data.gov. Attribution: If you use this dataset, please credit LAPD & Data.gov.
If you notice any inconsistencies or have questions, please leave a comment below. Let's collaborate to improve crime data transparency! 🚀
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TwitterThe Shootings dashboard contains information on shooting incidents where a victim was struck by a bullet, either fatally or non-fatally; that occurred in the City of Boston and fall under Boston Police Department jurisdiction. The dashboard does not contain records for self-inflicted gunshot wounds or shootings determined to be justifiable. Information on the incident, and the demographics of victims are included. This information is updated based on analysis conducted by the Boston Regional Intelligence Center under the Boston Police Department Bureau of Intelligence and Analysis. The data is for 2015 forward, with a 7 day rolling delay to allow for analysis and data entry to occur.
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TwitterToronto Neighbourhoods Boundary File includes Crime Data by Neighbourhood. Counts are available at the offence and/or victim level for Assault, Auto Theft, Bike Theft, Break and Enter, Robbery, Theft Over, Homicide, Shootings and Theft from Motor Vehicle. Data also includes crime rates per 100,000 people by neighbourhood based on each year's Projected Population by Environics Analytics.This data does not include occurrences that have been deemed unfounded. The definition of unfounded according to Statistics Canada is: “It has been determined through police investigation that the offence reported did not occur, nor was it attempted” (Statistics Canada, 2020).**The dataset is intended to provide communities with information regarding public safety and awareness. The data supplied to the Toronto Police Service by the reporting parties is preliminary and may not have been fully verified at the time of publishing the dataset. The location of crime occurrences have been deliberately offset to the nearest road intersection node to protect the privacy of parties involved in the occurrence. All location data must be considered as an approximate location of the occurrence and users are advised not to interpret any of these locations as related to a specific address or individual.NOTE: Due to the offset of occurrence location, the numbers by Division and Neighbourhood may not reflect the exact count of occurrences reported within these geographies. Therefore, the Toronto Police Service does not guarantee the accuracy, completeness, timeliness of the data and it should not be compared to any other source of crime data.By accessing these datasets, the user agrees to full acknowledgement of the Open Government Licence - Ontario..In accordance with the Municipal Freedom of Information and Protection of Privacy Act, the Toronto Police Service has taken the necessary measures to protect the privacy of individuals involved in the reported occurrences. No personal information related to any of the parties involved in the occurrence will be released as open data. ** Statistics Canada. 2020. Uniform Crime Reporting Manual. Surveys and Statistical Programs. Canadian Centre for Justice Statistics.
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TwitterIn 2024, there were 301,623 cases filed by the National Crime Information Center (NCIC) where the race of the reported missing person was white. In the same year, 17,097 people whose race was unknown were also reported missing in the United States. What is the NCIC? The National Crime Information Center (NCIC) is a digital database that stores crime data for the United States, so criminal justice agencies can access it. As a part of the FBI, it helps criminal justice professionals find criminals, missing people, stolen property, and terrorists. The NCIC database is broken down into 21 files. Seven files belong to stolen property and items, and 14 belong to persons, including the National Sex Offender Register, Missing Person, and Identify Theft. It works alongside federal, tribal, state, and local agencies. The NCIC’s goal is to maintain a centralized information system between local branches and offices, so information is easily accessible nationwide. Missing people in the United States A person is considered missing when they have disappeared and their location is unknown. A person who is considered missing might have left voluntarily, but that is not always the case. The number of the NCIC unidentified person files in the United States has fluctuated since 1990, and in 2022, there were slightly more NCIC missing person files for males as compared to females. Fortunately, the number of NCIC missing person files has been mostly decreasing since 1998.
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TwitterIncident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), police services in Manitoba, 1998 to 2024.
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This dataset provides a detailed account of crime incidents reported in the City of Los Angeles from 2020 to the present day. The data is compiled from the Los Angeles Police Department (LAPD) and includes various features like the type of crime, date and time of occurrence, location, and demographic information of victims. With over four years of data, this dataset is invaluable for researchers, data scientists, and analysts who are interested in studying crime trends, identifying patterns, and developing predictive models to enhance public safety.
This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. The data is transcribed from original crime reports that are typed on paper, which may introduce some inaccuracies. Location fields with missing data are noted as (0°, 0°), and address fields are provided only to the nearest hundred block to maintain privacy. This data is as accurate as the data in the database.
| Feature Name | Description |
|---|---|
| DR_NO | Unique identifier for each crime report. |
| Date Rptd | Date the crime was reported. |
| DATE OCC | Date and time when the crime occurred. |
| TIME OCC | Time when the crime occurred. |
| AREA | Area code where the crime took place. |
| AREA NAME | Name of the area or neighborhood where the crime took place. |
| Rpt Dist No | Reporting district number, a smaller unit within the area. |
| Part 1-2 | Classification of the crime as either Part 1 (serious) or Part 2 (less serious). |
| Crm Cd | Crime code representing the specific type of crime. |
| Crm Cd Desc | Description of the type of crime (e.g., BURGLARY, THEFT). |
| Mocodes | Modus operandi codes detailing how the crime was committed. |
| Vict Age | Age of the victim. |
| Vict Sex | Gender of the victim (M = Male, F = Female, X = Non-binary). |
| Vict Descent | Ethnic descent of the victim (O = Other, W = White, B = Black, H = Hispanic, etc.). |
| Premis Cd | Code representing the type of premise where the crime occurred. |
| Premis Desc | Description of the premise where the crime occurred (e.g., STREET, CLOTHING STORE). |
| Weapon Used Cd | Code for the weapon used in the crime. |
| Weapon Desc | Description of the weapon used in the crime (e.g., FIREARM, KNIFE). |
| Status | Current status of the investigation (e.g., AA = Adult Arrest, IC = Investigation Continued). |
| Status Desc | Detailed description of the investigation status. |
| Crm Cd 1 | Primary crime code associated with the incident. |
| Crm Cd 2 | Secondary crime code, if applicable. |
| Crm Cd 3 | Tertiary crime code, if applicable. |
| Crm Cd 4 | Quaternary crime code, if applicable. |
| LOCATION | Address or location where the crime occurred. |
| Cross Street | Nearest cross street to the location of the crime. |
| LAT | Latitude coordinate of the crime location. |
| LON | Longitude coordinate of the crime location. |
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TwitterThis dataset contains counts of deaths for California as a whole based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.
The final data tables include both deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence), whereas the provisional data table only includes deaths that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.
The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.
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TwitterPolice-reported hate crime, number of incidents and rate per 100,000 population, Census Metropolitan Areas and Canadian Forces Military Police, 2014 to 2024.
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TwitterIncident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), police services in Saskatchewan, 1998 to 2024.
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Please click here to view the Data Dictionary, a description of the fields in this table.The police incident report generates from the police department Record Management System (RMS) and includes one rolling year of data. Information automatically updates Sunday night. The most recent data available will begin one week prior from the updated date to allow for report approvals, ensuring the most accurate information available. Incidents included may not directly correlate to information found in other data sets nor should this data be considered for official Uniform Crime Reporting. For all official crime statistics please refer to the FBI and Arizona Department of Public Safety.Some information has been excluded and addresses shortened to the hundred block to protect privacy of victims and juveniles.
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TwitterNumber, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.