***Starting on March 7th, 2024, the Los Angeles Police Department (LAPD) will adopt a new Records Management System for reporting crimes and arrests. This new system is being implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs). During this transition, users will temporarily see only incidents reported in the retiring system. However, the LAPD is actively working on generating new NIBRS datasets to ensure a smoother and more efficient reporting system. *** **Update 1/18/2024 - LAPD is facing issues with posting the Crime data, but we are taking immediate action to resolve the problem. We understand the importance of providing reliable and up-to-date information and are committed to delivering it. As we work through the issues, we have temporarily reduced our updates from weekly to bi-weekly to ensure that we provide accurate information. Our team is actively working to identify and resolve these issues promptly. We apologize for any inconvenience this may cause and appreciate your understanding. Rest assured, we are doing everything we can to fix the problem and get back to providing weekly updates as soon as possible. ** This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some _location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.

Los Angeles Crime Data (2020 - Present)

📌 Updated: February 7, 2025

Overview

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.

Dataset Highlights

✔ 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

Important Notes

🔹 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.

Usage & Applications

✅ Crime trend analysis over time ✅ Crime hotspot detection & mapping ✅ Law enforcement and policy research ✅ Machine learning applications (predictive modeling)

Column Descriptions for Los Angeles Crime Data (2020 - Present)

Column Name and Description

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.

License & Attribution

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.

💬 Feedback & Discussion

If you notice any inconsistencies or have questions, please leave a comment below. Let's collaborate to improve crime data transparency! 🚀

Description

This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database.

Acknowledgements

https://catalog.data.gov/

Photo by David von Diemar on Unsplash

Serious violent crimes consist of Part 1 offenses as defined by the U.S. Department of Justice’s Uniform Reporting Statistics. These include murders, nonnegligent homicides, rapes (legacy and revised), robberies, and aggravated assaults. LAPD data were used for City of Los Angeles, LASD data were used for unincorporated areas and cities that contract with LASD for law enforcement services, and CA Attorney General data were used for all other cities with local police departments. This indicator is based on location of residence. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Neighborhood violence and crime can have a harmful impact on all members of a community. 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.

As of 2020, there were ****** violent crimes reported in Los Angeles by the Los Angeles Police Department. Within the provided time period, the highest number of robberies was reported in 2017, at ******.

Comprehensive crime statistics for Los Angeles County including homicides, property crime, robbery, assault, and neighborhood-by-neighborhood breakdowns with five-year trend analysis.

This study used a mixed-methods approach to pursue five interrelated objectives: (1) to document the extent of case attrition and to identify the stages of the criminal justice process where attrition is most likely to occur; (2) to identify the case complexities and evidentiary factors that affect the likelihood of attrition in sexual assault cases; (3) to identify the predictors of case outcomes in sexual assault cases; (4) to provide a comprehensive analysis of the factors that lead police to unfound the charges in sexual assault cases; and (5) to identify the situations in which sexual assault cases are being cleared by exceptional means. Toward this end, three primary data sources were used: (1) quantitative data on the outcomes of sexual assaults reported to the Los Angeles Police Department (LAPD) and the Los Angeles County Sheriff's Department (LASD) from 2005 to 2009, (2) qualitative data from interviews with detectives and with deputy district attorneys with the Los Angeles District Attorney's Office who handled sexual assault cases during this time period, and (3) detailed quantitative and qualitative data from case files for a sample of cases reported to the two agencies in 2008. The complete case files for sexual assaults that were reported to the Los Angeles Police Department and the Los Angeles County Sheriff's Department in 2008 were obtained by members of the research team and very detailed information (quantitative and qualitative data) was extracted from the files on each case in Dataset 1 (Case Outcomes and Characteristics: Reports from 2008). The case file included the crime report prepared by the patrol officer who responded to the crime and took the initial report from the complainant, all follow-up reports prepared by the detective to whom the case was assigned for investigation, and the detective's reasons for unfounding the report or for clearing the case by arrest or by exceptional means. The case files also included either verbatim accounts or summaries of statements made by the complainant, by witnesses (if any), and by the suspect (if the suspect was interviewed); a description of physical evidence recovered from the alleged crime scene, and the results of the physical exam (Sexual Assault Response Team (SART) exam) of the victim (if the victim reported the crime within 72 hours of the alleged assault). Members of the research team read through each case file and recorded data in an SPSS data file. There are 650 cases and 261 variables in the data file. The variables in the data file include administrative police information and charges listed on the police report. There is also information related to the victim, the suspect, and the case. Datasets 2-5 were obtained from the district attorney's office and contain outcome data that resulted in the arrest of a suspect. The outcome data obtained from the agency was for the following sex crimes: rape, attempted rape, sexual penetration with a foreign object, oral copulation, sodomy, unlawful sex, and sexual battery. Dataset 3 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - Adult Arrests) is a subset of Dataset 2 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - All Cases) in that it only contains cases that resulted in the arrest of at least one adult suspect. Dataset 2 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - All Cases) contains 10,832 cases and 29 variables. Dataset 3 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - Adult Arrests) contains 891 cases and 45 variables. Similarly, Dataset 5 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - Adult Arrests) is a subset of Dataset 4 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - All Cases) in that it only contains cases that resulted in the arrest of at least one adult suspect. Dataset 4 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - All Cases) contains 3,309 cases and 33 variables. Dataset 5 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - Adult Arrests) contains 904 cases and 47 variables.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15666745%2F92a4d2a363485867bda0dc4dd6699c13%2FDesign.png?generation=1723995740709789&alt=media" alt="">

Well, Now that you’ve bravely crossed the virtual crime scene tape, find more details below👇

Description:

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.

Features:

This dataset reflects incidents of crime in the City of Los Angeles from 2010 - 2019. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.

Effective March 7, 2024, the Los Angeles Police Department (LAPD) implemented a new Records Management System aligning with the FBI's National Incident-Based Reporting System (NIBRS) requirements. This switch, part of a nationwide mandate, enhances the granularity and specificity of crime data. You can learn more about NIBRS on the FBI's website here: https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs

NIBRS is more comprehensive than the previous Summary Reporting System (SRS) used in the Uniform Crime Reporting (UCR) program. Unlike SRS, which grouped crimes into general categories, NIBRS collects detailed information for each incident, including multiple offenses, offenders, and victims when applicable. This detail-rich format may give the impression of increased crime levels due to its broader capture of criminal activity, but it actually provides a more accurate and nuanced view of crime in our community.

This change sets a new baseline for crime reporting, reflecting incidents in the City of Los Angeles starting from March 7, 2024.

With NIBRS, each criminal incident may reflect multiple offenses, resulting in more robust data than before. This may change the appearance of crime frequency, as multiple offenses per incident are reported individually.

This dataset contains official crime records reported in Los Angeles City from January 2020 to December 2023.

The data provides valuable information about reported crimes, including the date, area, crime details, victim information, premises, weapons used, and status.

If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

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Interesting Task Ideas:

1. Analyze the temporal patterns of crimes in different areas of Los Angeles City.
2. Identify the most common crimes.
3. Explore the correlation between victim age and crime types.
4. Investigate the crime rates in different areas of the city.
5. Examine the relationship between premises and specific crime codes.
6. Visualize the distribution of crimes on a map of Los Angeles City.
7. Analyze the relationship between crime status and occurrence location.
8. Use machine learning techniques to predict crime categories based on available features.

This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database.

As of 2020, there were ****** property crimes reported in Los Angeles, a steady decrease from 2017 when there were ******* property crimes reported.

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.

1. Los Angeles

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:

  • M - Male
  • F - Female
  • X - Unknown

• Vict Descent - Descent Code:

  • A - Other Asian
  • B - Black
  • C - Chinese
  • D - Cambodian
  • F - Filipino
  • G - Guamanian
  • H - Hispanic/Latin/Mexican
  • I - American Indian/Alaskan Native
  • J - Japanese
  • K - Korean
  • L - Laotian
  • O - Other
  • P - Pacific Islander
  • S - Samoan
  • U - Hawaiian
  • V - Vietnamese
  • W - White
  • X - Unknown
  • Z - Asian Indian

• 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

1. Chicago

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...

ABOUT

The Crime Incidents in Los Angeles (2020-2025) provides a detailed record of reported crimes in Los Angeles. It includes crucial information such as the date, time, location, crime type, victim demographics, and weapon usage. This dataset is valuable for law enforcement analysis, criminology research, and community awareness, helping to identify crime trends and improve public safety.

Key features of the dataset:

✅ Covers crime reports from 2020 to the present in Los Angeles.
✅ Includes crime types, locations, and victim details.
✅ Provides insights into weapon use, crime status, and affected areas.
✅ Useful for law enforcement, researchers, and policymakers.

This dataset serves as a critical resource for analyzing crime patterns, understanding high-risk areas, and aiding in crime prevention strategies.

FILE INFORMATION

The dataset consists of structured records of reported crimes in Los Angeles. Each entry contains detailed incident data, including crime classification, location, victim details, and the status of the case. The file format is CSV, making it easy to analyze using data science and machine learning tools.

COLUMNS DESCRIPTION

• DATE OCC – The date when the crime occurred.
• TIME OCC – The time when the crime occurred (in military format).
• AREA NAME – The geographical area within Los Angeles where the crime took place.
• Vict Age – The age of the victim.
• Vict Sex – The gender of the victim (M/F/X).
• Vict Descent – The ethnicity or descent of the victim.
• Premis Desc – The type of location where the crime occurred (e.g., street, residence, store).
• Weapon Desc – The weapon used in the crime, if applicable.
• Status Desc – The current status of the crime (e.g., investigation ongoing, suspect arrested).
• LOCATION – The reported location of the crime.
• LAT – Latitude of the crime location.
• LON – Longitude of the crime location.
• Crm Cd Desc – The type or category of the reported crime.

This dataset is a valuable tool for law enforcement agencies, data analysts, and researchers looking to study crime patterns, develop predictive models, and improve community safety initiatives.

As of 2020, there were ****** burglaries reported in Los Angeles by the Los Angeles Police Department. Within the provided time period, the greatest number of burglaries in Los Angeles were in 2010, with ****** reported.

Comprehensive crime statistics for Los Angeles County's most dangerous neighborhoods including violent crime rates, property crime rates, gang activity, and annual victimization chances by neighborhood for 2024-2025.

Effective March 7, 2024, the Los Angeles Police Department (LAPD) implemented a new Records Management System aligning with the FBI's National Incident-Based Reporting System (NIBRS) requirements. This switch, part of a nationwide mandate, enhances the granularity and specificity of crime data. You can learn more about NIBRS on the FBI's website here: https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs

NIBRS is more comprehensive than the previous Summary Reporting System (SRS) used in the Uniform Crime Reporting (UCR) program. Unlike SRS, which grouped crimes into general categories, NIBRS collects detailed information for each incident, including multiple offenses, offenders, and victims when applicable. This detail-rich format may give the impression of increased crime levels due to its broader capture of criminal activity, but it actually provides a more accurate and nuanced view of crime in our community.

This change sets a new baseline for crime reporting, reflecting incidents in the City of Los Angeles starting from March 7, 2024.

NIBRS collects detailed information about each victim per incident, including victim- demographics information and specific crime details, providing more insight into affected individuals within each reported crime.

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

Locations for crime reporting and investigation in Los Angeles CountyThis dataset is maintained through the County of Los Angeles Location Management System. The Location Management System is used by the County of Los Angeles GIS Program to maintain a single, comprehensive geographic database of locations countywide. For more information on the Location Management System, visit http://egis3.lacounty.gov/lms/.